{"id":"W4387893618","doi":"10.1111/brv.13028","title":"How seasonality influences the thermal biology of lizards with different thermoregulatory strategies: a meta‐analysis","year":2023,"lang":"en","type":"article","venue":"Biological reviews/Biological reviews of the Cambridge Philosophical Society","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ectotherm; Thermoregulation; Seasonality; Niche; Ecology; Habitat; Biology; Context (archaeology); Range (aeronautics); Climate change; Atmospheric sciences","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":[0.005213195,0.001718542,0.004432368,0.003666826,0.0008741044,0.002047849,0.001762104,0.001541765,0.004462258],"category_scores_gemma":[0.01152488,0.000684745,0.01647187,0.004794277,0.000670293,0.001276725,0.001309737,0.001445163,0.0003124811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006296301,"about_ca_system_score_gemma":0.0007925882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006170655,"about_ca_topic_score_gemma":0.008907619,"domain_scores_codex":[0.9950143,0.002304969,0.0006480552,0.001511761,0.0002890906,0.0002318948],"domain_scores_gemma":[0.9899185,0.00789839,0.0009393543,0.0006587948,0.000352031,0.0002329611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002153694,0.0001193471,0.3208118,0.02452949,0.6326457,0.0005119337,0.00048651,0.002341995,0.002690515,0.0005764512,0.001481747,0.01165092],"study_design_scores_gemma":[0.0003319064,0.000703839,0.2651038,0.003097228,0.7164651,0.0004747942,0.0006941287,0.00751163,0.001002805,0.001371305,0.003144081,0.0000993818],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409849,0.3261807,0.01656858,0.001485947,0.0007431785,0.0003656142,0.01147019,0.0005063296,0.001694593],"genre_scores_gemma":[0.9855559,0.008732594,0.003463513,0.0002926152,0.00007050559,0.000252432,0.001321721,0.00006952101,0.0002412021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006170655,"threshold_uncertainty_score":0.02757037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.210871632618959,"score_gpt":0.330181018947631,"score_spread":0.119309386328672,"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."}}