{"id":"W2949574555","doi":"10.3390/ijerph16122095","title":"Toward an Improved Air Pollution Warning System in Quebec","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos; University of Ottawa; Wilfrid Laurier University; Institut National de Santé Publique du Québec; Health Canada; Institut National de la Recherche Scientifique","funders":"Institut National de Santé Publique du Québec; National Aeronautics and Space Administration","keywords":"Metropolitan area; Air pollution; Air quality index; Environmental science; Warning system; Environmental health; Particulates; Nitrogen dioxide; Air pollutants; Ozone; Public health; Pollution; Excess mortality; Pollutant; Environmental protection; Geography; Meteorology; Medicine; Population; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002024673,0.0004528471,0.0003709251,0.001761336,0.0007287411,0.001708558,0.001185112,0.0004941996,0.002540627],"category_scores_gemma":[0.004368129,0.0001819768,0.0002932188,0.001526325,0.0002827955,0.0007803504,0.0006663469,0.0004393801,0.0003829494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01632613,"about_ca_system_score_gemma":0.01723114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9539818,"about_ca_topic_score_gemma":0.943952,"domain_scores_codex":[0.9991741,0.0001838365,0.00007066681,0.0001347783,0.000294067,0.0001425343],"domain_scores_gemma":[0.995557,0.0003489791,0.0002408762,0.0001225814,0.003478248,0.0002522741],"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":[0.0007577176,0.000411248,0.3246495,0.0004162317,0.0001708296,0.0004484514,0.0006387015,0.1699876,0.02130349,0.008841586,0.05201676,0.420358],"study_design_scores_gemma":[0.0001565409,0.0003635714,0.2968121,0.0002163741,0.0001431826,0.0000937951,0.0009803489,0.6272736,0.01113237,0.002051885,0.06053908,0.0002371497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6967834,0.002551455,0.1944456,0.01140484,0.0004227945,0.002392232,0.03430643,0.01394102,0.04375226],"genre_scores_gemma":[0.8795043,0.0005883091,0.09520163,0.0008785346,0.00004648977,0.0002722347,0.01032113,0.0001193837,0.01306803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04601818,"threshold_uncertainty_score":0.1184549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364117210484586,"score_gpt":0.3915246806204803,"score_spread":0.2978835085156344,"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."}}