{"id":"W7115168056","doi":"10.1002/cjce.70204","title":"Treatment of commercial industrial wastewater using electrocoagulation: Understanding effect of operating conditions","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrocoagulation; Wastewater; Chemical oxygen demand; Industrial wastewater treatment; Hazardous waste; Aluminium; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007828567,0.00008468828,0.0001798943,0.0000686503,0.00006437453,0.00001066489,0.00009025314,0.00004130015,0.0000677238],"category_scores_gemma":[0.00003868371,0.00005783938,0.00006126058,0.0001585289,0.00007327429,0.00007970198,0.000009752041,0.00007775873,4.405731e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253127,"about_ca_system_score_gemma":0.00007448244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007048637,"about_ca_topic_score_gemma":0.00008458853,"domain_scores_codex":[0.9994274,0.00002354295,0.0002662413,0.00005215565,0.00009629312,0.0001343893],"domain_scores_gemma":[0.9996363,0.00009965197,0.00009787094,0.00007589571,0.000009477541,0.0000808238],"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":[0.00002425831,0.00001241487,0.00922463,0.000009699021,0.00009146555,0.000006373371,0.0003486371,0.279591,0.7100278,0.000351422,0.00001873092,0.0002935348],"study_design_scores_gemma":[0.0009262977,0.0001347359,0.0002954785,0.00007157263,0.00008308305,0.00002385395,0.00001641881,0.009066921,0.9891697,0.0001061949,0.00005025141,0.00005553517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980004,0.00002427733,0.001545417,0.0001413759,0.0000854274,0.0001130796,0.000004331547,0.000002199176,0.00008351353],"genre_scores_gemma":[0.9995219,4.010645e-7,0.0004163132,0.000004484057,0.00003847023,0.000001733652,0.00000247833,0.00000559921,0.000008673032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2791418,"threshold_uncertainty_score":0.3276885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735966150955042,"score_gpt":0.2491446213409657,"score_spread":0.2217849598314153,"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."}}