{"id":"W2552696028","doi":"","title":"ASSESSING OZONE AND FINE PARTICULATE MATTER CONCENTRATIONS AND TRENDS IN ONTARIO, CANADA, 2003 - 2012","year":2013,"lang":"en","type":"article","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Particulates; Environmental science; Atmospheric sciences; Chemistry; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007291735,0.0004749658,0.0004302147,0.001427375,0.00192829,0.001336979,0.001213102,0.0005082587,0.0008522206],"category_scores_gemma":[0.001646463,0.0003456265,0.0008181624,0.004667727,0.0003775506,0.0005815651,0.0007641991,0.0004932231,0.0002234645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04346044,"about_ca_system_score_gemma":0.06970511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991715,"about_ca_topic_score_gemma":0.9996802,"domain_scores_codex":[0.9992658,0.00002776533,0.0000598778,0.0001033975,0.0003655256,0.0001775082],"domain_scores_gemma":[0.998234,0.00004498534,0.0001690481,0.00002651097,0.001316577,0.0002087092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001941352,0.00006490508,0.9662543,0.0002034731,0.0002977862,0.0001542101,0.001225094,0.002201228,0.0008495826,0.0002290519,0.007756681,0.02056956],"study_design_scores_gemma":[0.00001133913,0.00002263795,0.9911286,0.00003486036,0.0001146296,0.00002463042,0.001319597,0.001213764,0.0002776838,0.0000250728,0.005814249,0.00001301083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470246,0.002730158,0.0007725089,0.001332843,0.0000424779,0.0001994948,0.03970771,0.00008550563,0.00810468],"genre_scores_gemma":[0.9706241,0.001868094,0.00146309,0.0002350052,0.0000140304,0.00007208237,0.01442799,0.00001832388,0.01127743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04346044,"threshold_uncertainty_score":0.315329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539016873340816,"score_gpt":0.2817986438654724,"score_spread":0.2464084751320643,"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."}}