{"id":"W4392457463","doi":"10.5864/d2024-003","title":"Climate change and heatwaves: Improving Ontario’s harmonized heat warning and information system","year":2024,"lang":"en","type":"article","venue":"Environmental Health Review","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Warning system; Climate change; Environmental science; Meteorology; Climatology; Computer science; Geography; Oceanography; Geology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008241369,0.0005798404,0.000640682,0.002164269,0.001746518,0.001944698,0.001672131,0.0008459412,0.002521539],"category_scores_gemma":[0.008404597,0.0003267777,0.001086005,0.003922811,0.0007655129,0.001049505,0.001205727,0.001173704,0.0002929117],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0448583,"about_ca_system_score_gemma":0.211865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706178,"about_ca_topic_score_gemma":0.9862885,"domain_scores_codex":[0.9950663,0.0009005822,0.0002757848,0.0001555274,0.003045725,0.0005560974],"domain_scores_gemma":[0.9919436,0.0007040204,0.000625383,0.0001454208,0.005758711,0.0008227802],"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":[0.0003220218,0.0002514705,0.01819194,0.03076623,0.0006219004,0.000155555,0.002787338,0.002337624,0.001753254,0.01222643,0.2060416,0.7245447],"study_design_scores_gemma":[0.0001918023,0.0002555417,0.0907572,0.01135962,0.0005776411,0.00008562826,0.0009903256,0.0006957416,0.0009186755,0.0005894201,0.8934894,0.00008904804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02964128,0.7697279,0.004116914,0.08753097,0.002992011,0.00197484,0.008629295,0.0004080011,0.09497877],"genre_scores_gemma":[0.2165345,0.7221615,0.01962618,0.01203758,0.0007237613,0.000826436,0.007069708,0.0001120769,0.02090834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9551417,"threshold_uncertainty_score":0.3254713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533213814301935,"score_gpt":0.2927196046735127,"score_spread":0.2373874665304934,"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."}}