{"id":"W4288029454","doi":"","title":"Direct and indirect phototransformation of triclosan in wetland","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Triclosan; Wetland; Environmental science; Environmental chemistry; Chemistry; Ecology; Biology","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":[0.00008972699,0.0001461736,0.0002053571,0.0001174723,0.000194108,0.0002864362,0.0001693633,0.0001899361,0.001652551],"category_scores_gemma":[0.0001339608,0.00005897165,0.0002083079,0.0001238314,0.0001980512,0.0001512443,0.0001643519,0.0002681909,0.0002318566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007646093,"about_ca_system_score_gemma":0.0003561662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153342,"about_ca_topic_score_gemma":0.0097533,"domain_scores_codex":[0.999902,0.000009717382,0.000002845341,0.00002699875,0.00002525743,0.000033143],"domain_scores_gemma":[0.999923,0.00001789244,0.00001539039,0.000008525678,0.00002383757,0.00001142542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005207905,0.00003114191,0.001775602,0.00007663813,0.000007726187,0.00006641934,0.00008283437,0.0002619918,0.9920645,0.0001192543,0.00008541321,0.004907652],"study_design_scores_gemma":[0.00001347145,0.000350475,0.01943887,0.000006698488,0.00001862955,0.00006857315,0.0001967467,0.001627146,0.9770837,0.00006169605,0.001126485,0.000007425667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978296,0.0001434261,0.0003944011,0.00001801355,0.000006135135,0.000007681148,0.0001080093,0.00001022203,0.001482311],"genre_scores_gemma":[0.9964463,0.0001571318,0.0002881995,0.00001209403,0.000002148382,0.000006260504,0.0000945441,0.000007300477,0.002985981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153342,"threshold_uncertainty_score":0.02293253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156566374962559,"score_gpt":0.2368307488447084,"score_spread":0.2211741113484526,"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."}}