{"id":"W4280641045","doi":"10.1021/acs.est.2c00321","title":"The Next Frontier of Environmental Unknowns: Substances of Unknown or Variable Composition, Complex Reaction Products, or Biological Materials (UVCBs)","year":2022,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Center for Advancing Translational Sciences; Horizon 2020 Framework Programme; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Fonds National de la Recherche Luxembourg; European Commission; National Institutes of Health; National Science Foundation","keywords":"Computer science; Hazard analysis; Cheminformatics; Profiling (computer programming); Risk assessment; Biochemical engineering; Risk analysis (engineering); Data science; Engineering; Business; Biology; Bioinformatics","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":[0.003687168,0.0008828226,0.002049234,0.002219786,0.0008772225,0.004679188,0.001420513,0.00202938,0.002974268],"category_scores_gemma":[0.003573148,0.0005479392,0.001400878,0.002455438,0.002707762,0.007926106,0.002461501,0.003091805,0.001104638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712708,"about_ca_system_score_gemma":0.004530272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003200565,"about_ca_topic_score_gemma":0.004724727,"domain_scores_codex":[0.9962251,0.001028452,0.0004086883,0.0006691489,0.001473724,0.0001949186],"domain_scores_gemma":[0.9967091,0.001675845,0.0004837833,0.0002501571,0.0007816833,0.00009933676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002079656,0.0001016247,0.003654453,0.04799361,0.0004296946,0.001710004,0.002168834,0.003384135,0.03315667,0.1507571,0.03243384,0.7240021],"study_design_scores_gemma":[0.00000777285,0.0001288179,0.002099476,0.006659668,0.0002747549,0.001255298,0.001712811,0.0005815348,0.01201192,0.03540904,0.9397741,0.00008474295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01055668,0.9259567,0.03162486,0.00978933,0.00144499,0.00007624515,0.0008441707,0.0001972204,0.01950985],"genre_scores_gemma":[0.05403578,0.9116361,0.01964377,0.006003791,0.0009619978,0.0001048386,0.001084306,0.00008742536,0.00644193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004679188,"threshold_uncertainty_score":0.0194999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04865686675552961,"score_gpt":0.2773801005025112,"score_spread":0.2287232337469816,"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."}}