{"id":"W1539022781","doi":"10.1080/23328940.2015.1017088","title":"Thermal physiology in a changing thermal world","year":2015,"lang":"en","type":"article","venue":"Temperature","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adaptability; Thermal; Physiology; Computer science; Biology; Meteorology; Ecology; 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":[0.000153448,0.0001209108,0.0002554132,0.0002600376,0.00002441943,0.000007523561,0.00006438662,0.0001074001,0.0001695672],"category_scores_gemma":[0.00002919662,0.00008775885,0.00004311609,0.0004995155,0.00003210171,0.0000619876,0.0000342778,0.0003396122,0.000120193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347521,"about_ca_system_score_gemma":0.00007816481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001612751,"about_ca_topic_score_gemma":0.00001624898,"domain_scores_codex":[0.9992528,0.00004263348,0.000112209,0.0001728618,0.0001155147,0.0003040035],"domain_scores_gemma":[0.9995919,0.00001198966,0.00002389766,0.0002054294,0.00004292326,0.0001238788],"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":[0.0003050791,0.0001233084,0.003163712,0.00002895066,0.00004052301,0.0002244581,0.006435771,0.000041539,0.9805217,0.001741438,0.004171529,0.003202031],"study_design_scores_gemma":[0.01266239,0.0004755731,0.4782762,0.0004568284,0.0002131291,0.0001799817,0.002408008,0.0002491245,0.1046974,0.0003397162,0.3991564,0.000885284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829081,0.002952868,3.458485e-7,0.001319134,0.0002748539,0.0001833565,0.000001782277,0.00006077706,0.01229884],"genre_scores_gemma":[0.9789003,0.000008678438,0.000154747,0.002209879,0.000996643,0.00001526011,0.00002052214,0.00002088763,0.01767309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758242,"threshold_uncertainty_score":0.3578702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212511857954516,"score_gpt":0.2793055757776777,"score_spread":0.2571804571981325,"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."}}