{"id":"W4411375938","doi":"10.1111/2041-210x.70075","title":"Toward a unified approach to modelling adaptation among demographers and evolutionary ecologists","year":2025,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Natural Environment Research Council; Research Committee, Aristotle University of Thessaloniki; National Science Foundation","keywords":"Adaptation (eye); Computer science; Evolutionary biology; Data science; Ecology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007816422,0.0001003691,0.000143468,0.0001253058,0.0001621923,0.00001200171,0.00007097956,0.0001724778,0.0002131272],"category_scores_gemma":[0.0001208462,0.0001039795,0.00001902063,0.0004716002,0.0002883869,0.0001242261,0.0001293256,0.0001239202,0.000009203107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004949325,"about_ca_system_score_gemma":0.00001140201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003874524,"about_ca_topic_score_gemma":0.0007006674,"domain_scores_codex":[0.998895,0.0003051784,0.0001831664,0.0003281235,0.00005757399,0.00023094],"domain_scores_gemma":[0.9996665,0.000134439,0.00004084711,0.00008747623,0.00001023136,0.00006048571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007369027,0.0001244875,0.9323757,0.00002407968,0.00001217243,0.000001164307,0.0006746117,0.04719294,0.0003275484,0.01382775,0.0006793778,0.00468644],"study_design_scores_gemma":[0.0002467629,0.00003922309,0.864381,0.000004709081,0.00001178723,0.00000282594,0.002128027,0.1243883,0.00001275651,0.008282897,0.0004115336,0.00009013958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071866,0.0001336334,0.3798843,0.0002442206,0.0001208208,0.0002211338,0.000003240529,0.00002627962,0.01217978],"genre_scores_gemma":[0.8944182,0.00008802034,0.1050538,0.0001718502,0.000004914941,0.00008403551,0.00001278932,0.000003264154,0.000163108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872316,"threshold_uncertainty_score":0.424016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06355949387481838,"score_gpt":0.3186549138643961,"score_spread":0.2550954199895777,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}