{"id":"W6921765775","doi":"10.1021/acs.est.8b05543.s001","title":"Within-City\\nSpatial Variations in Multiple Measures\\nof PM&lt;sub&gt;2.5&lt;/sub&gt; Oxidative Potential in Toronto, Canada","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxidative phosphorylation; Air pollution; Particulates; Oxidative damage; Pollution; Air pollutants","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":[0.0006030923,0.0004245295,0.0003814237,0.0009843769,0.001974193,0.001155098,0.0009296745,0.0002661572,0.002334756],"category_scores_gemma":[0.001334205,0.000343732,0.0005817065,0.003030498,0.0006067415,0.0003868004,0.0008106174,0.0004108145,0.0002937566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01956045,"about_ca_system_score_gemma":0.0196886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945022,"about_ca_topic_score_gemma":0.9980379,"domain_scores_codex":[0.9990871,0.0001102405,0.00005417032,0.0002475529,0.0002944446,0.0002065563],"domain_scores_gemma":[0.9984421,0.00008635539,0.0002321084,0.00008003464,0.000913816,0.0002455362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001731218,0.00002578338,0.9716825,0.0001375403,0.0003274465,0.0001532951,0.001665896,0.0005315982,0.001434482,0.0004743894,0.006675744,0.01671826],"study_design_scores_gemma":[0.000003702318,0.00001021685,0.9956221,0.00002562933,0.00003933345,0.00002462735,0.0009045223,0.0003072519,0.0001897006,0.00003601048,0.002825107,0.00001172995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644642,0.002946733,0.00220849,0.0009815876,0.00008365851,0.0001047731,0.02103595,0.00009605482,0.008078424],"genre_scores_gemma":[0.9890771,0.0008396673,0.001250799,0.0001685242,0.00001487688,0.00005110868,0.004139401,0.0000253349,0.004433177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01956045,"threshold_uncertainty_score":0.1419216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380929877052624,"score_gpt":0.192363828046995,"score_spread":0.1542708403417326,"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."}}