{"id":"W3024247149","doi":"10.1149/ma2020-01211269mtgabs","title":"Electrocoagulation with Polarity Reversal for Treatment of Produced Water","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrocoagulation; Passivation; Electrode; Materials science; Dissolution; Cathode; Polarity reversal; Water treatment; Anode; Chemical engineering; Chloride; Ferric; Chemistry; Metallurgy; Environmental engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632826,0.00008586943,0.000136196,0.00001001154,0.00007236707,0.00001399913,0.00005518199,0.00002808447,0.00001554367],"category_scores_gemma":[0.00003413311,0.00005535064,0.00004548286,0.00006296576,0.00002568812,0.00006766326,0.00001232168,0.00002318912,0.00002362667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000059191,"about_ca_system_score_gemma":0.000005182899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007877646,"about_ca_topic_score_gemma":0.000006672023,"domain_scores_codex":[0.9992639,0.00002354762,0.0001702872,0.0002162714,0.0001510904,0.0001749042],"domain_scores_gemma":[0.999727,0.00002557364,0.00007405432,0.0000993073,0.00001039984,0.00006363649],"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":[0.00006873083,0.00007160806,0.02655716,0.00001765479,0.00002464666,0.000001103339,0.001574492,0.01939961,0.9520119,2.857565e-7,0.00003768928,0.0002351517],"study_design_scores_gemma":[0.0002893021,0.0003355071,0.01400417,0.000008596583,0.0000462055,4.445302e-7,0.00004212791,0.0003055652,0.9838475,0.00002433357,0.001015296,0.00008098167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976296,0.000004668681,0.0000235679,0.001281008,0.00001795854,0.0001524669,0.000002613132,0.00002979614,0.0008582778],"genre_scores_gemma":[0.9974152,7.858474e-7,0.002283575,0.00001463466,0.0001350935,0.00000857955,0.00001546154,0.000008641781,0.000118065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318356,"threshold_uncertainty_score":0.2257134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055824714267531,"score_gpt":0.2489541252772648,"score_spread":0.2183958781345894,"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."}}