{"id":"W4255406098","doi":"10.26434/chemrxiv-2021-8w57d","title":"Highly efficient water oxidation via a bimolecular reaction mechanism on rutile structured mixed-metal oxyfluorides","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Compute Canada","keywords":"Tafel equation; Overpotential; Catalysis; Electrocatalyst; Rutile; Oxygen evolution; Chemical engineering; Electrochemistry; Inorganic chemistry; Materials science; Metal; Chemistry; Electrode; Physical chemistry; Metallurgy","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":[0.0001725714,0.0003076398,0.0002296516,0.0002541712,0.000117153,0.0003219248,0.0003728765,0.0003152619,0.0007950334],"category_scores_gemma":[0.0001984839,0.000156674,0.0001595965,0.0001424143,0.0001681179,0.0004775074,0.0002495823,0.0003769924,0.0004195981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200354,"about_ca_system_score_gemma":0.00009217487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018711,"about_ca_topic_score_gemma":0.0008380321,"domain_scores_codex":[0.9998494,0.00001767989,0.000008732553,0.00003545576,0.00004669212,0.00004195749],"domain_scores_gemma":[0.9999546,0.00001168547,0.0000126927,0.000006175242,0.000008435896,0.000006445427],"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":[0.0000249564,0.00001496133,0.0000846952,0.00004904854,0.000004963937,0.00005796132,0.00001792044,0.0001285955,0.996448,0.0003810294,0.00007216403,0.002715638],"study_design_scores_gemma":[0.000003398476,0.00003728325,0.0001896009,0.000001910196,0.000003024475,0.00005190324,0.000006800132,0.0008969283,0.9979353,0.00004170468,0.0008298839,0.000002256803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865216,0.001103539,0.009465219,0.00008383764,0.00002611844,0.00001622906,0.0001351427,0.0001515533,0.002496819],"genre_scores_gemma":[0.9934516,0.0003841638,0.004357092,0.0000149404,0.000006711648,0.00001111047,0.0001043826,0.00002682333,0.001643141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007950334,"threshold_uncertainty_score":0.002659678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006541309688536195,"score_gpt":0.2026125011533327,"score_spread":0.1960711914647965,"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."}}