{"id":"W6959051535","doi":"10.1021/acs.est.1c05364.s001","title":"Predicting\\nSpatial Variations in Multiple Measures\\nof PM&lt;sub&gt;2.5&lt;/sub&gt; Oxidative Potential and Magnetite Nanoparticles\\nin Toronto and Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Human health; Air pollution; Oxidative phosphorylation; Magnetite Nanoparticles; Air pollutants; Socioeconomic status; Magnetite","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":[0.0004683932,0.001002095,0.0003760271,0.0005843341,0.0006398127,0.0008809122,0.0009227497,0.0004647494,0.001491862],"category_scores_gemma":[0.0006981705,0.0003076386,0.0007118467,0.0007215663,0.0003147361,0.0002700975,0.0005204473,0.0005205066,0.0002936177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007287857,"about_ca_system_score_gemma":0.008232246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517966,"about_ca_topic_score_gemma":0.970744,"domain_scores_codex":[0.9997695,0.00002173271,0.000006362182,0.00009467051,0.000041379,0.00006644857],"domain_scores_gemma":[0.9996895,0.00005462101,0.00003501223,0.00001857398,0.0001532216,0.00004907088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003842216,0.0002341569,0.6989247,0.0001309025,0.0005596686,0.0002022692,0.000148058,0.2473413,0.009947889,0.001127078,0.007297582,0.03370211],"study_design_scores_gemma":[0.00004939347,0.00009079983,0.3736863,0.00002314268,0.0001392363,0.00002878841,0.0003234174,0.6157926,0.003686375,0.000495889,0.005633668,0.00005050827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733758,0.0006644657,0.01286973,0.0004805019,0.00005814215,0.00009234114,0.008912138,0.0003863979,0.003160591],"genre_scores_gemma":[0.9830166,0.0002421718,0.006858079,0.00008717402,0.00001114889,0.00004484459,0.00593659,0.00004598578,0.003757469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04820341,"threshold_uncertainty_score":0.09697455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692405685558043,"score_gpt":0.2336309246012292,"score_spread":0.2067068677456487,"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."}}