{"id":"W4391308472","doi":"10.1073/pnas.2312438121","title":"Climate change drives migratory range shift via individual plasticity in shearwaters","year":2024,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadiana.org","funders":"Interreg; Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Ministerio de Ciencia e Innovación; Sight Research UK; Leverhulme Trust; UK Research and Innovation","keywords":"Climate change; Range (aeronautics); Ecology; Population; Phenotypic plasticity; Biology; Environmental change; Adaptation (eye); Geography; Demography; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122475,0.0001199484,0.0001976189,0.0004156812,0.0002673046,0.0004245105,0.0001972405,0.0002413961,0.001353311],"category_scores_gemma":[0.0009322219,0.0001818361,0.0001485331,0.000229165,0.0003853106,0.0003412462,0.0004189862,0.0002315694,0.0001306164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002037432,"about_ca_system_score_gemma":0.0001311838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004364601,"about_ca_topic_score_gemma":0.01591684,"domain_scores_codex":[0.9999075,0.00001913894,0.000005643798,0.00003792853,0.00001176332,0.00001806194],"domain_scores_gemma":[0.9996853,0.00005630145,0.000141924,0.00003982871,0.00003114063,0.00004550982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382787,0.0001177837,0.8292652,0.00006140633,0.0001822056,0.0001509611,0.001684465,0.001606483,0.1442426,0.0002929099,0.0002807541,0.0219769],"study_design_scores_gemma":[0.000001701494,0.00004844126,0.9977577,0.000004284981,0.000009946332,0.00004026395,0.0002298433,0.001010178,0.0005366023,0.0001620497,0.0001930516,0.000006068277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994764,0.00002511414,0.0002140018,0.00001345832,0.000001447182,0.000001806405,0.00002457002,0.000006850356,0.0002364654],"genre_scores_gemma":[0.9995547,0.00001885032,0.0002365202,0.00001262339,0.00000196371,0.000004204418,0.00003572188,0.000003598583,0.0001318063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004364601,"threshold_uncertainty_score":0.008678436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503940212066003,"score_gpt":0.2913884955425067,"score_spread":0.2363490934218467,"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."}}