{"id":"W4414579157","doi":"10.1016/j.jhazmat.2025.139949","title":"Enhanced photo-ozonation for on-board marine oily wastewater treatment: An integrated study on efficiency and microbial trajectory","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Council Canada; Canada Foundation for Innovation; McGill University; Génome Québec; Scientific Research Foundation for Returned Scholars of Ministry of Education; Natural Sciences and Engineering Research Council of Canada; Ningbo University; Canada Research Chairs","keywords":"Microcosm; Wastewater; Effluent; Sewage treatment; Degradation (telecommunications); Sulfur; Marine bacteriophage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001337865,0.0003325795,0.0002779297,0.0001322998,0.0001172488,0.0004944197,0.0002067546,0.0003134215,0.0007085378],"category_scores_gemma":[0.0002042059,0.0001091522,0.0003394763,0.0001729625,0.0001872198,0.0003086522,0.0002813683,0.0003940572,0.0001468973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003733063,"about_ca_system_score_gemma":0.0003025745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003456387,"about_ca_topic_score_gemma":0.00484389,"domain_scores_codex":[0.9998556,0.00001023932,0.000005183341,0.00002931182,0.00005430943,0.00004534846],"domain_scores_gemma":[0.9999316,0.00001403184,0.00001547268,0.000005999136,0.0000230311,0.000009871405],"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":[0.000188691,0.00004509994,0.0003226172,0.00003421403,0.000005710344,0.00001627698,0.00002260569,0.0002010761,0.9962538,0.00004378484,0.00001818002,0.002847832],"study_design_scores_gemma":[0.000005855145,0.0001834367,0.00228571,0.000002452651,0.00001802396,0.00001798426,0.00004153205,0.001734493,0.9953907,0.00001365603,0.0003008468,0.000005405002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979104,0.0002419991,0.001226244,0.00001615103,0.000008543589,0.000008356077,0.00004959817,0.00001271472,0.0005258911],"genre_scores_gemma":[0.9976124,0.0003129753,0.0007571407,0.00001040435,0.000002120271,0.000005057675,0.00005865789,0.000008045828,0.001233282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003456387,"threshold_uncertainty_score":0.006872535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646541023975417,"score_gpt":0.2760936854262119,"score_spread":0.2596282751864577,"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."}}