{"id":"W2029651020","doi":"10.1039/c4ta04495a","title":"Mapping the performance of amorphous ternary metal oxide water oxidation catalysts containing aluminium","year":2014,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Calgary Laboratory Services; Vancouver Biotech (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Calgary; Alfred P. Sloan Foundation","keywords":"Ternary operation; Catalysis; Amorphous solid; Cobalt; Aluminium; Oxygen evolution; Nickel; Oxygen; Materials science; Inorganic chemistry; Stoichiometry; Oxide; Metal; Aluminium oxide; Cobalt oxide; Chemical engineering; Chemistry; Metallurgy; Physical chemistry; Organic chemistry; Electrochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.001353485,0.0001801331,0.000412746,0.00005806091,0.00008559791,0.00003552843,0.0004361262,0.0001068941,0.0001684737],"category_scores_gemma":[0.0001008385,0.0001111247,0.0001250198,0.0000762979,0.00007421582,0.0002786465,0.00009572661,0.0001518998,0.00001624554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009736742,"about_ca_system_score_gemma":0.00004664448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187218,"about_ca_topic_score_gemma":0.000002310154,"domain_scores_codex":[0.9982938,0.00009085307,0.0007839741,0.0001383673,0.0004279444,0.0002650528],"domain_scores_gemma":[0.9985763,0.00006270993,0.0007683693,0.0002958183,0.0002337825,0.00006297726],"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":[0.0002454868,0.00002525729,0.0001270586,0.000138565,0.0001301946,0.00001077533,0.0002324283,0.0004832995,0.9982857,0.00001345261,0.00008109889,0.0002267079],"study_design_scores_gemma":[0.0005853332,0.00009850875,0.0003192654,0.0001270407,0.00007195647,0.0004396548,0.0001297311,0.000102304,0.9957412,0.00002814529,0.002222835,0.0001339536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987558,0.00004145103,0.00004212227,0.0001466734,0.0002588832,0.0000350747,8.952772e-7,0.00001606963,0.0007030372],"genre_scores_gemma":[0.9990001,0.00002329254,0.0001597056,0.00005018664,0.0004339773,0.000003159068,0.00003130008,0.00002672731,0.0002715775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002544403,"threshold_uncertainty_score":0.4531533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009096949250536135,"score_gpt":0.1979885353064237,"score_spread":0.1888915860558876,"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."}}