{"id":"W1986714929","doi":"10.1007/s00484-012-0590-2","title":"A general and flexible methodology to define thresholds for heat health watch and warning systems, applied to the province of Québec (Canada)","year":2012,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Homogeneous; Warning system; Geography; Heat wave; Population; Constraint (computer-aided design); Variety (cybernetics); Computer science; Meteorology; Econometrics; Demography; Statistics; Operations research; Environmental science; Environmental health; Climate change; Mathematics; Medicine; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578437,0.00007949398,0.0002531438,0.00009627682,0.00006548149,0.00001030679,0.0001911156,0.00003956343,0.00003410784],"category_scores_gemma":[0.0001176656,0.00005386017,0.00001886555,0.00008475129,0.00006201809,0.00006170062,0.0001472094,0.00007658176,0.000001731789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251511,"about_ca_system_score_gemma":0.0001411037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08934689,"about_ca_topic_score_gemma":0.1395135,"domain_scores_codex":[0.998918,0.0000920188,0.0003768219,0.0001041313,0.0002289194,0.0002801199],"domain_scores_gemma":[0.9991064,0.0003248492,0.0002035856,0.00006728347,0.00004179345,0.0002561097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004716492,0.0003716986,0.3932854,0.0003416174,0.0004455475,0.00002474968,0.01142288,0.006975658,0.197633,0.007375328,0.1777999,0.1996077],"study_design_scores_gemma":[0.002786841,0.004195852,0.340533,0.0001184678,0.00007170077,0.002087003,0.001129243,0.0008326153,0.006774722,0.0006516154,0.6404073,0.00041156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914103,0.001154405,0.007472724,0.07624771,0.0005925945,0.0003172022,0.00003624465,0.000002688921,0.00007344497],"genre_scores_gemma":[0.984859,0.0001063748,0.008036572,0.006639538,0.0002811497,0.00001422016,0.00000261792,0.000007751069,0.00005271683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4626074,"threshold_uncertainty_score":0.9167172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07778327696932441,"score_gpt":0.3537721273657347,"score_spread":0.2759888503964103,"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."}}