{"id":"W2295993818","doi":"10.1016/j.zool.2016.03.001","title":"Reptile thermogenesis and the origins of endothermy","year":2016,"lang":"en","type":"article","venue":"Zoology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Estadual Paulista; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Ectotherm; Biology; Extant taxon; Thermoregulation; Vertebrate; Marsupial; Metabolic rate; Lizard; Zoology; Basal metabolic rate; Evolutionary biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004739582,0.00002976518,0.00005857479,0.000002306476,0.00002227858,6.230143e-7,0.00007665659,0.00002240331,0.002032307],"category_scores_gemma":[0.0000318141,0.00001045722,0.0000196473,0.00002810169,0.0006525546,0.00001342635,0.00006545363,0.00001298063,0.00009089562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009705315,"about_ca_system_score_gemma":0.000001066135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001421483,"about_ca_topic_score_gemma":0.0000126845,"domain_scores_codex":[0.9997272,0.00003286105,0.00005862436,0.00008496451,0.00003123349,0.00006514849],"domain_scores_gemma":[0.9997188,0.0001601575,0.00002396109,0.000079718,0.000001581269,0.00001571446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002621749,0.00001302789,0.006590087,4.731004e-7,0.000003161146,2.020478e-7,0.00002192843,5.027017e-7,0.9677407,0.01208449,0.00008813201,0.01343111],"study_design_scores_gemma":[0.0009073681,0.00008237967,0.7573959,0.00000300395,0.00001409457,0.000006905132,0.00001579162,0.00002882806,0.1737035,0.05823217,0.009526874,0.00008320159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941776,0.00002053082,0.00009373068,0.001168381,0.00001218847,0.00003871655,0.000004682958,0.000006234226,0.004477962],"genre_scores_gemma":[0.9990138,0.00003255974,0.0001094378,0.0002122041,0.000009900532,0.000007236672,1.756993e-7,0.000001281272,0.000613349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7940372,"threshold_uncertainty_score":0.99888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009626838741226816,"score_gpt":0.2002890194200396,"score_spread":0.1906621806788127,"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."}}