{"id":"W2746873081","doi":"10.1149/2.1181712jes","title":"Kinetics and Stoichiometry of Methanol and Ethanol Oxidation in Multi-Anode Proton Exchange Membrane Cells","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; Proton exchange membrane fuel cell; Tafel equation; Catalysis; Stoichiometry; Chemistry; Methanol; Direct-ethanol fuel cell; Inorganic chemistry; Polarization (electrochemistry); Cathode; Kinetics; Direct methanol fuel cell; Chemical engineering; Analytical Chemistry (journal); Electrode; Electrochemistry; Physical chemistry; Chromatography; Organic chemistry","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":[0.0005108188,0.0002542051,0.0004829952,0.0003962572,0.0001537363,0.00050386,0.0004476533,0.0005057175,0.0006796958],"category_scores_gemma":[0.0007580681,0.0002453454,0.0001937513,0.0003776449,0.0001509242,0.0006816887,0.0002092034,0.000454025,0.0002575881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541885,"about_ca_system_score_gemma":0.000206577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009837679,"about_ca_topic_score_gemma":0.001152282,"domain_scores_codex":[0.9995965,0.00004432164,0.00003239389,0.00008264246,0.0002034994,0.00004062399],"domain_scores_gemma":[0.9997295,0.0001303213,0.00002979554,0.00001980911,0.0000742534,0.00001640993],"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":[0.0001952162,0.00004009534,0.001210434,0.00006384539,0.00001155703,0.00005366138,0.00002467149,0.001166335,0.990659,0.0001982328,0.00003104433,0.006345927],"study_design_scores_gemma":[0.000003048384,0.00006465709,0.001481963,0.000002573416,0.000004862647,0.00003777368,0.00001286724,0.005271957,0.9927018,0.00004233984,0.0003724657,0.000003767728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915623,0.001670301,0.005015221,0.00004982346,0.00001671005,0.00002575813,0.0003631022,0.00006656969,0.00123028],"genre_scores_gemma":[0.9933996,0.0008351747,0.00421946,0.00001246496,0.000004074095,0.00002311987,0.0002250974,0.00001288571,0.001268154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009837679,"threshold_uncertainty_score":0.004020929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503829267930405,"score_gpt":0.2571627357484602,"score_spread":0.2421244430691561,"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."}}