{"id":"W4294351057","doi":"10.1177/23978473221122880","title":"Micropollutant transformation and toxicity: Electrochemical ozonation versus biological metabolism","year":2022,"lang":"en","type":"article","venue":"Toxicology Research and Application","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Universiteit Stellenbosch","keywords":"Environmental chemistry; Chemistry; Ozone; Pollutant; Toxicity; Biofilm; Degradation (telecommunications); Nitrate; Water treatment; Environmental engineering; Environmental science; Bacteria; Organic chemistry; 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":[0.0001434835,0.0003390976,0.0002311053,0.0001576372,0.00008056499,0.0004192743,0.0001834657,0.000281678,0.0004669464],"category_scores_gemma":[0.0002483719,0.0001154078,0.0002007965,0.000184866,0.0002039436,0.0002626562,0.0002631337,0.0003313421,0.0001277676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977696,"about_ca_system_score_gemma":0.0001963807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360818,"about_ca_topic_score_gemma":0.001909812,"domain_scores_codex":[0.9997907,0.00002195815,0.00001334678,0.00004978587,0.00009311654,0.00003116935],"domain_scores_gemma":[0.9998887,0.00001974387,0.00003582376,0.000006898348,0.0000382312,0.00001055346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006080473,0.000009006342,0.0008557335,0.00007015576,0.000007028115,0.00002259561,0.00001648939,0.00005743211,0.9965413,0.00003467491,0.00001294545,0.002311771],"study_design_scores_gemma":[0.000002886718,0.0003201018,0.01389135,0.000008669156,0.0000271775,0.0001203116,0.00007412594,0.000796131,0.9837698,0.00006345125,0.0009198565,0.000006156252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865794,0.004498072,0.006991032,0.0001261358,0.00002361721,0.00003343191,0.0003190863,0.00004656369,0.001382592],"genre_scores_gemma":[0.9931775,0.002470452,0.002433858,0.0000550076,0.000007233961,0.00002329835,0.000255201,0.000008070067,0.001569295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001360818,"threshold_uncertainty_score":0.002705812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0595997336254827,"score_gpt":0.3578113400045629,"score_spread":0.2982116063790802,"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."}}