@prefix this: . @prefix sub: . @prefix np: . @prefix rdf: . @prefix prov: . @prefix npx: . @prefix dc: . @prefix xsd: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { sub:soroye-python-port-phase2-outcome a ; "2026-04-23"^^xsd:date; "Soroye 2020 thermal-exposure → extirpation claim is robust to a Python re-implementation "; "The Python re-implementation of Soroye et al. 2020's pipeline applied to the authors' own dataset reproduces the headline thermal-exposure → extirpation relationship: the standardised TEI-delta coefficient is positive and highly significant in both a plain logistic regression and a mixed-effects model with species random effect. The sign and significance match the direction reported in the original paper. The claim is therefore robust to a complete change of analysis software stack (R → Python, lme4/MCMCglmm → statsmodels variational Bayes). "; ; "Mixed-effects logistic GLMM (statsmodels.BinomialBayesMixedGLM, variational Bayes) on 13,614 species × cell observations across 66 Bombus species over North America and Europe yielded sc_TEI_delta = +0.1528 with 95% credible interval [0.116, 0.189], unambiguously positive. A plain logistic regression on the same data gave sc_TEI_delta = +0.2466 (p = 4×10⁻²¹). The hot-edge × thermal-change interaction (sc_TEI_bs × sc_TEI_delta) is also positive at +0.13, consistent with Soroye's prediction that species near their warm range limit are more vulnerable. "; """(i) Variational Bayes posterior may underestimate credible-interval width by approximately 10–20% relative to full MCMC; tight CI claims would be more conservative under full MCMC. (ii) The exact climateLimits[[1]]/[[2]] precomputation script is not in the public Figshare release and was reconstructed from the available R helper scripts; this can shift absolute coefficient magnitudes but does not alter the qualitative direction. (iii) The 13,614-row analysis subset is determined by Soroye's filter (cells with valid baseline + recent observations) and inevitably excludes regions of low sampling effort. """; ; ; . } sub:provenance { sub:assertion prov:wasAttributedTo . } sub:pubinfo { "Anne Fouilloux" . this: dc:created "2026-04-25T10:44:28.546Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:introduces sub:soroye-python-port-phase2-outcome; npx:wasCreatedAt ; "NP created using Declaring a replication study outcome according to FORRT"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "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"; npx:hasSignature "UwoPVqaZb7rIL9dimxCnjGpGYKhSrRL8fNYMU+BvxgaRCmcCWE+3IGRXewMIv97oCW+FEEFyZ6ftwbpdYYZpJICxlo+rTThJZLrCHF6Ij1D5KpFA9tuBmzpqjbxAMq3w8dQ9rK0tsWZ5lsuyZ3qO1mhTHu2cfa36KFrsa0tMYWleIKUqxx5Ms6RncoEDtr6wbUJCr77c7Px1EURRD6iKqR6lnNeOloxilmsNGI6nlTsw71DLHURg424TpwvdaU7ihTt4Wff7uuPekDUEc02eVYh6Nfl1hrdV5VbRvBuBnGoGmmVxJJ0KatU5HdVCSF88EfY0r9mmrvbATNw0h+G6N21kK8/AQUzaSTlgQGyw3S/Ctdj+pRo9EER+mEn9+s4yogv6sSC+k6fTO/36usoqX7LfvPfX+bj4+ehJdXIpTp3ZRIyLU/VIsYEb32NKSmCiEwAEsWA5NHlihiUMBYMmKR5TS2Lco1H0eYvLSodYQ8nxmmJXwfqXHznXDHt1vswFeMRCR7+afnJZkev1SbOGTsjfhyS2WlScvpqCDjtSEMzU5fCwPbN9h+2XFKTosdCfZVaHZrs9UvYhO8q2JU/sKEUxIYIqyw+Hk+JvZRaYrQUweHUiAMQnoZEPb1005yo9AlDEiUFIA8JNzZg+JLcYzubo9J1RYgWvGOM3gfegZYA="; npx:hasSignatureTarget this:; npx:signedBy . }