{"id":"W2160695972","doi":"10.1016/j.compbiomed.2004.01.004","title":"Thermoregulatory model for prediction of long-term cold exposure","year":2004,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Shivering; Term (time); Environmental science; Meteorology; Anesthesia; Medicine; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.000162547,0.00008771071,0.000286675,0.00008600927,0.00002480409,5.555833e-7,0.00004237752,0.0001292355,0.00001049868],"category_scores_gemma":[0.00006154161,0.00005781155,0.00003285283,0.00006176716,0.0003605623,0.00001468681,0.000017319,0.00007259071,2.130025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002114095,"about_ca_system_score_gemma":0.00003776638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002114171,"about_ca_topic_score_gemma":0.000001564934,"domain_scores_codex":[0.9994372,0.00002653264,0.0002162463,0.0001651431,0.00004282569,0.0001120414],"domain_scores_gemma":[0.9995875,0.00013086,0.00005909083,0.0001173112,0.00004142016,0.00006385968],"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":[0.008207839,0.0004653962,0.138092,0.0004351825,0.0001496279,0.00001809181,0.001942774,0.001407554,0.6800062,0.06630217,0.000310941,0.1026622],"study_design_scores_gemma":[0.004812588,0.001363294,0.9831305,0.0002598714,0.00002866529,0.00001624117,0.00001425784,0.003714481,0.001074739,0.005505795,0.00003164792,0.00004787624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548481,0.0008404626,0.04319169,0.0005645009,0.0001455738,0.0003283178,0.00001399847,0.00002263138,0.00004468214],"genre_scores_gemma":[0.9975263,0.0001172217,0.001408544,0.0007006345,0.0001146483,0.00001468952,0.00005539059,0.000005415078,0.00005715592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8450385,"threshold_uncertainty_score":0.2357487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441201372477681,"score_gpt":0.3336855935962116,"score_spread":0.2895654563484436,"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."}}