{"id":"W3000023510","doi":"10.1016/j.matt.2019.10.007","title":"Relating Catalysis between Fuel Cell and Metal-Air Batteries","year":2020,"lang":"en","type":"article","venue":"Matter","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"U.S. Department of Energy","keywords":"Battery (electricity); Commercialization; Fuel cells; Electrochemical energy conversion; Energy storage; Electrochemical energy storage; Nanotechnology; Process engineering; Engineering; Environmental science; Electrochemistry; Materials science; Business; Chemistry; Supercapacitor; Chemical engineering; Electrode; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013705,0.0006626554,0.0008417243,0.002153986,0.0008696918,0.003814411,0.001487689,0.002788034,0.002356771],"category_scores_gemma":[0.004405654,0.0003836409,0.0004156782,0.001773864,0.003081834,0.004722218,0.001438687,0.002622805,0.0007551482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334002,"about_ca_system_score_gemma":0.0005661888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404923,"about_ca_topic_score_gemma":0.001410748,"domain_scores_codex":[0.9992773,0.0002987991,0.0000320793,0.0001192701,0.0001815313,0.00009104927],"domain_scores_gemma":[0.9984465,0.001294319,0.00007503328,0.00006690912,0.00008854497,0.00002871075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000244033,0.0002535631,0.002189755,0.001814853,0.0001249956,0.001320469,0.0006399518,0.01172026,0.03474358,0.8764864,0.002649066,0.06781313],"study_design_scores_gemma":[0.00002138571,0.0001847646,0.001821477,0.0003243298,0.00008266196,0.0008986594,0.001066541,0.02150304,0.06942862,0.8475308,0.05707789,0.0000597632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2917513,0.3012936,0.19624,0.02104831,0.00558736,0.0002010371,0.0002901408,0.0002300691,0.1833583],"genre_scores_gemma":[0.8628422,0.1032011,0.01701204,0.001534428,0.00223717,0.00007610851,0.000198463,0.00005456432,0.01284387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003814411,"threshold_uncertainty_score":0.009678841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036546918487095,"score_gpt":0.1963121725989823,"score_spread":0.1859467034141114,"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."}}