{"id":"W2018953139","doi":"10.1021/es072542n","title":"Urban Contaminant Dynamics: From Source to Effect","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Dynamics (music); Environmental engineering; Environmental planning; Physics","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":[0.001032291,0.0007850029,0.000795854,0.003589748,0.0008707411,0.004793583,0.0009195121,0.001544406,0.1597696],"category_scores_gemma":[0.00534991,0.0004763202,0.001176412,0.006380326,0.0005488712,0.002503093,0.003790789,0.001018087,0.03420354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622573,"about_ca_system_score_gemma":0.00220473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04035607,"about_ca_topic_score_gemma":0.05553824,"domain_scores_codex":[0.998618,0.0002561367,0.0000929941,0.0002112865,0.0006634995,0.0001580291],"domain_scores_gemma":[0.9966767,0.0006055653,0.000605027,0.0002495266,0.001451593,0.0004116884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004137508,0.0001420146,0.06332345,0.002181477,0.0003557251,0.0003812245,0.0006041877,0.001121766,0.000855422,0.004267761,0.6655113,0.2608419],"study_design_scores_gemma":[0.0000783552,0.0001762903,0.1730176,0.002170091,0.000535858,0.0005157987,0.002621082,0.001132335,0.001817809,0.008423797,0.8093836,0.0001273848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08496609,0.08944979,0.007961712,0.146441,0.01275329,0.0008968953,0.1524771,0.005163723,0.4998904],"genre_scores_gemma":[0.5631039,0.1003764,0.005363052,0.01728475,0.005924509,0.0004293907,0.05425963,0.003516668,0.2497417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1597696,"threshold_uncertainty_score":0.5344825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002000593904879325,"score_gpt":0.2014229346196578,"score_spread":0.1994223407147784,"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."}}