{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002993817,0.000586914,0.002673978,0.00001402257,0.000303178,0.00004514087,0.001776937,0.0004085612,0.004058249],"category_scores_gemma":[0.0009150403,0.0001853115,0.004659554,0.001916824,0.004160992,0.00009342975,0.001081093,0.0005194452,0.00007512376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310423,"about_ca_system_score_gemma":0.00002021841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003188664,"about_ca_topic_score_gemma":0.00001142819,"domain_scores_codex":[0.9946148,0.002355459,0.001090604,0.0008221269,0.0004806643,0.0006363146],"domain_scores_gemma":[0.9968455,0.0007694301,0.001047657,0.001076996,0.00006254294,0.0001978254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008333304,0.002520163,0.5494516,0.001499762,0.04495109,0.00001007901,0.000506916,0.000192197,0.08244813,0.2598063,0.01887211,0.03890829],"study_design_scores_gemma":[0.0003905061,0.0007994951,0.845547,0.00006087556,0.01037326,0.000004354441,0.000285583,0.00006378643,0.0004662087,0.006840495,0.1344685,0.000699977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252077,0.05068006,0.0001459719,0.01955008,0.00009665292,0.002259009,0.0003961891,0.00009953674,0.001564769],"genre_scores_gemma":[0.9277443,0.06997661,0.00005748533,0.001617896,0.00008252006,0.0003798676,0.00008975219,0.000009985777,0.00004164215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2960954,"threshold_uncertainty_score":0.9985491,"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."}}