{"id":"W4310790232","doi":"10.1016/j.jtherbio.2022.103405","title":"Towards real-time thermal stress prediction systems for workers","year":2022,"lang":"en","type":"review","venue":"Journal of Thermal Biology","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Alertness; Heat stress; Work (physics); Risk analysis (engineering); Personal protective equipment; Computer science; Physical stress; Environmental science; Business; Engineering; Medicine; Mechanical engineering; Coronavirus disease 2019 (COVID-19)","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":[0.001078118,0.001534125,0.00214612,0.0008105121,0.0001796115,0.001290339,0.00192172,0.00178029,0.003015938],"category_scores_gemma":[0.001331576,0.000443135,0.0007689269,0.0008877292,0.0004945062,0.001562547,0.0009002027,0.001823114,0.002381508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645227,"about_ca_system_score_gemma":0.0009044826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440744,"about_ca_topic_score_gemma":0.001602398,"domain_scores_codex":[0.9997298,0.00003748589,0.00002833529,0.00008919551,0.00009654973,0.00001855079],"domain_scores_gemma":[0.9992368,0.0003663323,0.00009873221,0.00003056531,0.0002239475,0.0000435881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001004286,0.00006808931,0.000249138,0.006706352,0.000108598,0.00006120384,0.00002678956,0.001530519,0.002992071,0.001630879,0.009761509,0.9767644],"study_design_scores_gemma":[0.00009962868,0.0006755692,0.004210586,0.008539119,0.001030023,0.001258153,0.0001581128,0.008682766,0.007788898,0.0100559,0.9573326,0.0001686029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003464401,0.9916267,0.006082202,0.0004033317,0.0005371959,0.00001609399,0.00005965039,0.00008195838,0.0008464846],"genre_scores_gemma":[0.004780305,0.9845263,0.00777737,0.0005456203,0.0008528667,0.00004297722,0.0001645726,0.00001689153,0.00129315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003015938,"threshold_uncertainty_score":0.01008934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08646106125107442,"score_gpt":0.3751480766039998,"score_spread":0.2886870153529254,"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."}}