{"id":"W2972719213","doi":"10.1039/c9sc04027g","title":"Investigation of mixed-metal (oxy)fluorides as a new class of water oxidation electrocatalysts","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oxygen evolution; Overpotential; Electrolysis; Fluoride; Inorganic chemistry; Electrolysis of water; Water splitting; Catalysis; Electrocatalyst; Context (archaeology); Electrolyte; Chemistry; Amorphous solid; Electronegativity; Reactivity (psychology); Materials science; Chemical engineering; Electrochemistry; Electrode; Physical chemistry; Crystallography","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":[0.0001918168,0.0001810776,0.0001677495,0.0002267507,0.0001439876,0.0003500358,0.0003426464,0.0003550351,0.0007565056],"category_scores_gemma":[0.0001618321,0.0001274743,0.0001628368,0.0001152107,0.0001461632,0.0003893479,0.000131809,0.0002602576,0.0001527679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618684,"about_ca_system_score_gemma":0.0001503979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008821692,"about_ca_topic_score_gemma":0.001672918,"domain_scores_codex":[0.9998926,0.000009796755,0.000003911363,0.00002403232,0.00004484343,0.00002487481],"domain_scores_gemma":[0.9999601,0.000009554298,0.0000066395,0.000002862533,0.00001423882,0.000006637183],"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":[0.0000793681,0.00004360093,0.0002362702,0.0001061129,0.000007477088,0.00008359432,0.00002099018,0.0001148344,0.9952031,0.0008214215,0.0001291073,0.003154099],"study_design_scores_gemma":[0.00001918777,0.0004297454,0.0008383638,0.000007370453,0.00001244541,0.0001951108,0.00003466232,0.0021046,0.9909243,0.0001086,0.005320238,0.000005408149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880186,0.003776741,0.003595085,0.0002157619,0.00006007031,0.00003831309,0.0001740056,0.00004535322,0.004076039],"genre_scores_gemma":[0.990469,0.001887405,0.004973423,0.00003978347,0.0000231582,0.00001661738,0.0001425138,0.00001138922,0.002436624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008821692,"threshold_uncertainty_score":0.002530754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00707607290298078,"score_gpt":0.2111678953204638,"score_spread":0.2040918224174831,"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."}}