{"id":"W2529056837","doi":"","title":"An effective public health program to reduce urban heat islands in Québec, Canada.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Action plan; Urban heat island; Government (linguistics); Plan (archaeology); Environmental planning; Climate change; Climate change adaptation; Business; Public health; Local government; Vegetation (pathology); Environmental resource management; Environmental protection; Political science; Environmental science; Geography; Public administration; Meteorology; Nursing; Medicine; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007893152,0.0003874538,0.0001307831,0.0007838379,0.002848793,0.0006525643,0.001081827,0.000480221,0.01113297],"category_scores_gemma":[0.00108789,0.0001411157,0.000313317,0.0008960826,0.0004945662,0.0002758342,0.0009793829,0.0005940152,0.0006099208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0259808,"about_ca_system_score_gemma":0.1147974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98705,"about_ca_topic_score_gemma":0.9947315,"domain_scores_codex":[0.999579,0.00007448058,0.00001065187,0.00003679714,0.0001179693,0.0001811637],"domain_scores_gemma":[0.9986744,0.00004713517,0.00004802744,0.00002673833,0.0005278459,0.0006758898],"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":[0.0006273286,0.002379687,0.07837084,0.001764385,0.0001333064,0.0009612729,0.0027682,0.001547178,0.005613504,0.005109753,0.320296,0.5804285],"study_design_scores_gemma":[0.0005823073,0.0007280494,0.5939388,0.0005208208,0.0001125744,0.0001579372,0.003572505,0.001201622,0.001041752,0.0004461828,0.3976494,0.00004801068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5503775,0.03030012,0.008238507,0.07494176,0.002937373,0.01696102,0.03868103,0.001685667,0.275877],"genre_scores_gemma":[0.7858241,0.009380823,0.02205754,0.01442299,0.0002208455,0.003965898,0.01348048,0.00006700988,0.1505803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0259808,"threshold_uncertainty_score":0.1885048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354475549680088,"score_gpt":0.2907324586779512,"score_spread":0.2471877031811503,"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."}}