{"id":"W4220827541","doi":"10.1007/s12273-022-0890-3","title":"Development of a bioheat model for older people under hot and cold exposures","year":2022,"lang":"en","type":"article","venue":"Building Simulation","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; National Research Council Canada","funders":"Infrastructure Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Cold climate; Core temperature; Node (physics); Population; Thermoregulation; Environmental science; Thermal; Simulation; Computer science; Medicine; Engineering; Structural engineering; Environmental health; Meteorology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004207036,0.0007569841,0.001042402,0.0004346228,0.0008461971,0.0009704225,0.001702724,0.001916605,0.005604894],"category_scores_gemma":[0.00172098,0.0005958007,0.00133309,0.000491664,0.0004566311,0.000908298,0.0009963262,0.001232374,0.0004303583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125914,"about_ca_system_score_gemma":0.002534747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07687262,"about_ca_topic_score_gemma":0.03519767,"domain_scores_codex":[0.9998516,0.00004507135,0.000009281017,0.00003080313,0.00003130441,0.00003186818],"domain_scores_gemma":[0.9994131,0.000290618,0.00004132534,0.00003642836,0.0001343284,0.00008417547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002489935,0.00003315565,0.001080349,0.00001494599,0.00001544769,0.00003664159,0.00002752687,0.9965073,0.0002072609,0.0006972067,0.000224351,0.00113085],"study_design_scores_gemma":[0.0000237134,0.00001876638,0.0002579215,0.000005777022,0.00001089623,0.000007885311,0.00002369853,0.9984623,0.000138119,0.0005772297,0.0004662294,0.000007402874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6930778,0.0003837888,0.2613121,0.00191213,0.0003758896,0.0004890683,0.004597146,0.001354528,0.03649755],"genre_scores_gemma":[0.9634946,0.0002249195,0.02692663,0.0001961821,0.00004786731,0.0003705927,0.001245347,0.0001693855,0.00732438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07687262,"threshold_uncertainty_score":0.1528503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08447721088192875,"score_gpt":0.3400609173788496,"score_spread":0.2555837064969209,"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."}}