{"id":"W2001821545","doi":"10.1021/es5010544","title":"Using Model-Based Screening to Help Discover Unknown Environmental Contaminants","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Norges Forskningsråd; Norsk Institutt for Vannforskning; Eidgenössische Technische Hochschule Zürich; European Chemical Industry Council","keywords":"Contamination; Environmental chemistry; Environmental science; Organosilicon; Bioaccumulation; Environmental monitoring; Sediment; Organic chemicals; Chemistry; Environmental engineering; 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":[0.001048871,0.001696301,0.001089544,0.0009115313,0.0003194054,0.001466956,0.0008298754,0.0009158908,0.002547309],"category_scores_gemma":[0.002946801,0.0004502705,0.001188963,0.0006255577,0.0005135239,0.0009945291,0.0006653373,0.0007231933,0.0005119799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163509,"about_ca_system_score_gemma":0.001171827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004763643,"about_ca_topic_score_gemma":0.003671509,"domain_scores_codex":[0.9995499,0.0001527781,0.0000216067,0.0001027261,0.0001334718,0.00003955726],"domain_scores_gemma":[0.9980534,0.001526629,0.000133733,0.0001075947,0.0001355711,0.00004317128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001453511,0.0002268444,0.004821006,0.0002458468,0.0001884841,0.0001844488,0.0000383908,0.9403296,0.02199938,0.005305553,0.0009946109,0.02552041],"study_design_scores_gemma":[0.00001600681,0.0001023112,0.0002559265,0.000004740031,0.00002903538,0.00002931819,0.000006478076,0.990797,0.005039426,0.002995904,0.0007137344,0.00001019366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2420607,0.0009393388,0.7347732,0.0007177085,0.00007390402,0.0005031941,0.001938812,0.007412029,0.01158112],"genre_scores_gemma":[0.7585404,0.001093535,0.234153,0.0003580279,0.00002499187,0.0006432716,0.001913987,0.0002120118,0.003060831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004763643,"threshold_uncertainty_score":0.009471834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160372315653801,"score_gpt":0.240204208553443,"score_spread":0.2286004853969049,"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."}}