{"id":"W2160744138","doi":"10.1175/jamc-d-12-0341.1","title":"Regional Climate Projections of Extreme Heat Events in Nine Pilot Canadian Communities for Public Health Planning","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Ouranos","funders":"","keywords":"Representativeness heuristic; Climate change; Quantile; Context (archaeology); Environmental science; Climatology; Extreme heat; Extreme weather; Climate model; Public health; Climate extremes; Global warming; Environmental resource management; Geography; Econometrics; Statistics; Economics; Mathematics; Geology","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":[0.0007669035,0.0005712218,0.0003033292,0.0009024414,0.00159437,0.001178403,0.00117113,0.0004086913,0.002171045],"category_scores_gemma":[0.001887627,0.0002293772,0.0008374191,0.001875166,0.0002849874,0.0003322335,0.0006725275,0.0006034464,0.0001765757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03445837,"about_ca_system_score_gemma":0.03250568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929383,"about_ca_topic_score_gemma":0.9926603,"domain_scores_codex":[0.9995663,0.00007666519,0.00001172088,0.00004564839,0.0001356788,0.0001640585],"domain_scores_gemma":[0.9991195,0.00008249502,0.00005773983,0.00002490508,0.0005699609,0.0001454599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004071107,0.0001142555,0.183379,0.000206666,0.0002844227,0.000352437,0.0004727465,0.7659057,0.00116357,0.006700788,0.01763143,0.02338184],"study_design_scores_gemma":[0.00009061625,0.00006433613,0.3593656,0.00008157566,0.0001035298,0.00005489543,0.002222575,0.6208259,0.0007874788,0.001583844,0.01468491,0.0001346779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407113,0.0005331093,0.006375544,0.001623799,0.00007171187,0.0002664467,0.03244913,0.0002551978,0.01771392],"genre_scores_gemma":[0.9836494,0.0002980053,0.005388026,0.00007265241,0.000008169913,0.0001179884,0.007691112,0.00002271627,0.002751821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03445837,"threshold_uncertainty_score":0.2500141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666073290117729,"score_gpt":0.3268295506722031,"score_spread":0.1602222216604302,"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."}}