{"id":"W3195836923","doi":"10.21203/rs.3.rs-681169/v1","title":"Seasonal Source Identification And Source-Specific Health Risk Assessment of Pollutants On Road Dust In Tianjin","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pollutant; Identification (biology); Environmental science; Health risk; Road dust; Environmental health; Environmental planning; Particulates; Chemistry; Medicine; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004102683,0.0003822474,0.0003911511,0.001471783,0.0002860542,0.0005136093,0.0004110378,0.0003946546,0.0005663243],"category_scores_gemma":[0.0003394296,0.0002980656,0.0006658051,0.001039729,0.000133722,0.0002992729,0.000479678,0.0001328481,0.00008168555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005706463,"about_ca_system_score_gemma":0.0005324818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04091988,"about_ca_topic_score_gemma":0.03876333,"domain_scores_codex":[0.9998042,0.00003173708,0.00002031504,0.00006480979,0.00004881446,0.00003010643],"domain_scores_gemma":[0.9997913,0.00003573177,0.00005388225,0.00001736823,0.00008291145,0.00001876684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001171215,0.00004436504,0.9735382,0.0001523454,0.0001672112,0.0002729079,0.0002554537,0.006119214,0.006640856,0.0001185706,0.000297,0.01227672],"study_design_scores_gemma":[0.000006233688,0.00006395824,0.9784442,0.0000120917,0.0001319617,0.00009560127,0.000328372,0.01898569,0.001306031,0.0001476213,0.0004676363,0.00001068633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972408,0.0002904269,0.0015908,0.00002725795,0.000005216877,0.0000165406,0.0004972351,0.00001803767,0.0003137533],"genre_scores_gemma":[0.9987733,0.00009623518,0.0004019467,0.000007389462,0.000003068102,0.0000116373,0.0004096366,0.000003514303,0.00029326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04091988,"threshold_uncertainty_score":0.08136338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201182432125327,"score_gpt":0.4464220121588988,"score_spread":0.3263037689463661,"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."}}