{"id":"W6959055170","doi":"10.1021/acs.est.9b04120.s001","title":"Synthetic\\nPhenolic Antioxidants in Personal Care Products in Toronto, Canada:\\nOccurrence, Human Exposure, and Discharge via Greywater","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greywater; Wastewater; Human health; Personal care; Primary care","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":[0.0003412838,0.0002778222,0.0001637141,0.0008812715,0.001352374,0.0009215491,0.0004429828,0.0002968832,0.001692891],"category_scores_gemma":[0.000450083,0.0001733268,0.0002050429,0.001572301,0.0007409726,0.0002007623,0.0004646314,0.0002465002,0.0001671295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01204924,"about_ca_system_score_gemma":0.009451308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9625304,"about_ca_topic_score_gemma":0.986941,"domain_scores_codex":[0.9993124,0.00004228894,0.00002600664,0.0001073954,0.0003869872,0.0001249588],"domain_scores_gemma":[0.9995626,0.00002152633,0.00010021,0.00001187161,0.0002578509,0.00004599379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005509945,0.00008150908,0.8943226,0.0004343399,0.0001033294,0.0007396026,0.007006816,0.0003491624,0.0577198,0.0004237594,0.001670573,0.03659756],"study_design_scores_gemma":[0.000002820867,0.0000867832,0.987611,0.00004134827,0.00002319169,0.00009662945,0.003455381,0.0002393649,0.004532193,0.00002613257,0.003874798,0.00001037986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947228,0.0007922456,0.0002957495,0.0001162853,0.00000732017,0.00003449923,0.001014018,0.000009056996,0.003007992],"genre_scores_gemma":[0.992634,0.0009446407,0.0008374234,0.0001033348,0.000003910715,0.00001414165,0.0009367832,0.000007637628,0.004518127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03746963,"threshold_uncertainty_score":0.0874238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160085180840103,"score_gpt":0.2162409450235182,"score_spread":0.2046400932151172,"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."}}