{"id":"W2773121004","doi":"10.1016/j.electacta.2017.12.059","title":"Composition effects of electrodeposited Co-Fe as electrocatalysts for the oxygen evolution reaction","year":2017,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Overpotential; Oxygen evolution; Cobalt; Electrochemistry; Auger electron spectroscopy; Chemical engineering; Catalysis; Electrolyte; Carbon fibers; Materials science; Chemistry; Inorganic chemistry; Electrode; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004474406,0.0004488323,0.000509735,0.0002604816,0.001627544,0.0001342706,0.001220919,0.0003015208,0.00001089582],"category_scores_gemma":[0.0004893733,0.0003801508,0.0003867018,0.0002810794,0.0001790863,0.000623317,0.00008489496,0.0004692572,0.00004619812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007698776,"about_ca_system_score_gemma":0.0002545874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224922,"about_ca_topic_score_gemma":0.0005411936,"domain_scores_codex":[0.9970564,0.0001388254,0.000516063,0.0006705042,0.0006612693,0.0009569277],"domain_scores_gemma":[0.9964977,0.000556356,0.0008665996,0.001551221,0.0003983352,0.0001297815],"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":[0.0009954069,0.0001499719,0.00005034069,0.00008968492,0.0004331684,0.000002219697,0.0000690946,0.00001055364,0.9795015,0.01594736,0.001469522,0.001281211],"study_design_scores_gemma":[0.001633544,0.001091499,0.004608589,0.0000613318,0.0004427303,0.00008469296,0.000009651128,0.001590588,0.9826479,0.003238931,0.004192756,0.0003977765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984899,0.0006254584,0.006273505,0.001838707,0.000411162,0.001330274,0.000003325183,0.0003096381,0.004308886],"genre_scores_gemma":[0.9978282,0.0001946228,0.0001624374,0.0001743067,0.0003916582,0.0002387759,0.0003263774,0.000102807,0.0005808524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01292912,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006110987824545732,"score_gpt":0.2445777417553057,"score_spread":0.23846675393076,"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."}}