{"id":"W2029822098","doi":"10.1016/j.electacta.2014.02.089","title":"General Potential-Current Model and Validation for Electrocoagulation","year":2014,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"McMaster University","keywords":"Anode; Equipotential; Electrolyte; Electrode; Current density; Current (fluid); Cathode; Volumetric flow rate; Analytical Chemistry (journal); Mechanics; Chemistry; Materials science; Thermodynamics; Electrical engineering; Chromatography; Physics","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":[0.0009301552,0.001070752,0.001124628,0.0006439206,0.0007237045,0.001171413,0.00266591,0.001987246,0.006381085],"category_scores_gemma":[0.002074503,0.0004595387,0.001340196,0.0005884281,0.0005429063,0.001546069,0.0006124264,0.001227503,0.002450219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325691,"about_ca_system_score_gemma":0.001398631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110617,"about_ca_topic_score_gemma":0.00615749,"domain_scores_codex":[0.9995332,0.00005777752,0.00002979628,0.0001014818,0.0002273774,0.0000504218],"domain_scores_gemma":[0.9994364,0.0001483415,0.00003008523,0.0001204264,0.0002525295,0.00001209151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000315575,0.0002472719,0.001589577,0.0009836196,0.0001209512,0.0004089921,0.0001615722,0.8005711,0.104373,0.01999468,0.006075256,0.06515835],"study_design_scores_gemma":[0.00002065655,0.00006990293,0.0003055055,0.0000217343,0.00001912743,0.00007430711,0.0000141989,0.9657624,0.02550766,0.003328501,0.004860715,0.00001531302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04404416,0.001082811,0.9236794,0.0003987774,0.000169923,0.0006190425,0.001811524,0.005494853,0.02269953],"genre_scores_gemma":[0.8899986,0.0009933234,0.0879303,0.0002216815,0.00003118116,0.0008611748,0.001788542,0.000427748,0.01774745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110617,"threshold_uncertainty_score":0.02208304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366171489832435,"score_gpt":0.2407814411228075,"score_spread":0.2324152696329751,"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."}}