{"id":"W7132922872","doi":"","title":"An evaluation of Toronto&apos;s Heat Watch Warning system","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Warning system; Early warning system; Excess heat; Intervention (counseling); Heat wave; Heat sensitive; Point (geometry)","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":[0.01478341,0.0006447017,0.000462267,0.0006684173,0.001641326,0.001139395,0.0008778003,0.0006862408,0.002551626],"category_scores_gemma":[0.02457736,0.0002808537,0.0005652267,0.000928188,0.0008968073,0.0007623872,0.0008575092,0.0005955393,0.0002397847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02274731,"about_ca_system_score_gemma":0.01792761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.509663,"about_ca_topic_score_gemma":0.6135405,"domain_scores_codex":[0.9863437,0.008206109,0.0006577239,0.0003102059,0.003866419,0.0006157227],"domain_scores_gemma":[0.9824407,0.005320333,0.001145198,0.0004727994,0.009420682,0.001200376],"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":[0.03559003,0.01774114,0.130908,0.01805325,0.001411657,0.001941618,0.0513197,0.05855131,0.03686659,0.007710255,0.05755386,0.5823526],"study_design_scores_gemma":[0.01117612,0.1246199,0.6266556,0.003114111,0.002321695,0.0002756498,0.05108806,0.03572543,0.03810567,0.0007899092,0.1055932,0.0005346659],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639896,0.0007676031,0.002056357,0.001497892,0.0001239736,0.007049638,0.002071742,0.0001122767,0.02233079],"genre_scores_gemma":[0.9836469,0.0007768411,0.006642083,0.0002780088,0.00003549794,0.001768698,0.001360554,0.0000195974,0.005471739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.490337,"threshold_uncertainty_score":0.9864494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127960080831424,"score_gpt":0.4480747509176548,"score_spread":0.3352787428345124,"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."}}