{"id":"W3118422412","doi":"10.1186/s12889-021-10982-8","title":"A heat-health watch and warning system with extended season and evolving thresholds","year":2021,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institut National de Santé Publique du Québec; Institut National de la Recherche Scientifique","funders":"Mitacs; Institut National de Santé Publique du Québec","keywords":"Heat wave; Warning system; Early warning system; Northern Hemisphere; Public health; Climatology; Environmental science; Biostatistics; Southern Hemisphere; Medicine; Population; Meteorology; Environmental health; Climate change; Demography; Geography; Ecology; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009470982,0.0005116033,0.0004290835,0.0007280615,0.0004592367,0.0009394725,0.0009180764,0.0004886909,0.003182659],"category_scores_gemma":[0.002169286,0.0001710767,0.0003957021,0.0004703982,0.0002415893,0.0006281293,0.0006833122,0.0005211162,0.0007381763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196153,"about_ca_system_score_gemma":0.001901122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0561212,"about_ca_topic_score_gemma":0.05372696,"domain_scores_codex":[0.9995912,0.000088186,0.00003022636,0.000121068,0.0001030395,0.00006630405],"domain_scores_gemma":[0.9992543,0.0001704993,0.0001070552,0.00008195141,0.0002887373,0.00009738302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001439521,0.0004498084,0.1643283,0.000522779,0.0003198323,0.000727633,0.0009876462,0.2807021,0.02936867,0.008234072,0.03451625,0.4784035],"study_design_scores_gemma":[0.00008258469,0.0001818107,0.03860002,0.00004383614,0.0001123294,0.0001698578,0.0002522459,0.9358037,0.007486796,0.00309917,0.01409491,0.00007272298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2038506,0.0003264644,0.755909,0.0009231973,0.0002138979,0.0009932577,0.005724284,0.01840829,0.01365094],"genre_scores_gemma":[0.8542901,0.00009921946,0.1396102,0.0001642769,0.00005224182,0.0003273204,0.002263291,0.0001110678,0.003082298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0561212,"threshold_uncertainty_score":0.1115891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06693378276636017,"score_gpt":0.3130251994174617,"score_spread":0.2460914166511015,"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."}}