{"id":"W4400006125","doi":"10.1021/acs.est.4c02934","title":"Combining Nontargeted Analysis with Computer-Based Hazard Comparison Approaches to Support Prioritization of Unregulated Organic Contaminants in Biosolids","year":2024,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Occupational Safety and Health; Centers for Disease Control and Prevention; Johns Hopkins University; Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Biosolids; Prioritization; Contamination; Environmental science; Hazard; Hazard analysis; Environmental chemistry; Waste management; Environmental engineering; Engineering; Chemistry; Reliability engineering; Biology; Management science; Ecology","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":[0.002801116,0.001252823,0.0008909035,0.003479841,0.0005155791,0.00149881,0.001305095,0.0005138563,0.002238037],"category_scores_gemma":[0.005076869,0.0004448631,0.001333669,0.001515038,0.000409207,0.001068597,0.001375756,0.000523763,0.0003296197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019125,"about_ca_system_score_gemma":0.002348434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125039,"about_ca_topic_score_gemma":0.01767896,"domain_scores_codex":[0.9989991,0.0002598184,0.00007715602,0.0003401697,0.0002629312,0.00006085897],"domain_scores_gemma":[0.9965282,0.002168994,0.0003642399,0.0002081019,0.0006160416,0.0001144577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001937201,0.001475965,0.06044927,0.0009601025,0.00137483,0.0005328348,0.0007856486,0.3434699,0.1498909,0.006935236,0.005350512,0.4268377],"study_design_scores_gemma":[0.00009984378,0.0002497658,0.01106941,0.00001557585,0.0001664495,0.00009681843,0.0001109613,0.9519687,0.02813933,0.005159249,0.002865737,0.00005819522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.35878,0.0005810136,0.6169027,0.0004323363,0.00003928818,0.00071025,0.003560572,0.01498149,0.004012428],"genre_scores_gemma":[0.494858,0.0001943019,0.5004367,0.0002151373,0.00002303602,0.0004457481,0.002620151,0.0002964655,0.0009104889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0125039,"threshold_uncertainty_score":0.02486223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077336727736375,"score_gpt":0.2648195801171363,"score_spread":0.2340462128397726,"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."}}