{"id":"W2089366436","doi":"10.1016/j.electacta.2006.03.012","title":"A model-based analysis of flow-cell behaviour in constant-voltage electrolysis","year":2006,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cell voltage; Electrolysis; Mechanics; Cascade; Limiting current; Constant (computer programming); Voltage; Electrolytic cell; Constant current; Concentric; Flow (mathematics); Materials science; Limiting; Current (fluid); Chemistry; Electrolyte; Thermodynamics; Electrode; Computer science; Physics; Mathematics; Mechanical engineering; Engineering; Electrochemistry; Electrical engineering; Chromatography; Geometry","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":[0.0002428579,0.0004934639,0.0009069931,0.0002822827,0.0004446253,0.0008315278,0.0009209227,0.001161578,0.002394668],"category_scores_gemma":[0.0009139887,0.0002938857,0.0005448729,0.0002474241,0.0004395747,0.0008463052,0.0002365083,0.000572843,0.0003667185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007934278,"about_ca_system_score_gemma":0.0006313875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267875,"about_ca_topic_score_gemma":0.004566881,"domain_scores_codex":[0.9999191,0.00001978998,0.000003224968,0.00001385844,0.00002945366,0.00001461223],"domain_scores_gemma":[0.9997672,0.0001427178,0.00001291414,0.00001738992,0.00005157483,0.000008156067],"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":[0.00009930634,0.00006334113,0.0003337657,0.00007968424,0.00001998397,0.00007395567,0.00005651634,0.9681684,0.01583113,0.006191058,0.0004966317,0.00858624],"study_design_scores_gemma":[0.00000387043,0.000009177324,0.00007089032,0.000001238359,0.000002400912,0.000004992127,0.000002186611,0.9983877,0.0009829872,0.0003965625,0.000135656,0.000002331844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4316556,0.001815084,0.5390059,0.0007243974,0.0002091531,0.0001656394,0.0003561373,0.001606808,0.02446125],"genre_scores_gemma":[0.9905745,0.0002805242,0.005022068,0.00003670067,0.00001610292,0.00003748715,0.00007377495,0.00006878582,0.003890137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01267875,"threshold_uncertainty_score":0.0252099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006462862779575571,"score_gpt":0.2280156936069615,"score_spread":0.2215528308273859,"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."}}