{"id":"W4253631367","doi":"10.1002/ange.201612038","title":"High‐Throughput Synthesis of Mixed‐Metal Electrocatalysts for CO<sub>2</sub> Reduction","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Research and Innovation Foundation; Killam Trusts; Canadian Institute for Advanced Research","keywords":"Electrocatalyst; Catalysis; Metal; Electrochemistry; Materials science; Raw material; Decomposition; Stoichiometry; Nanotechnology; Chemical engineering; Inorganic chemistry; Electrode; Chemistry; Physical chemistry; Metallurgy; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000266342,0.0004795671,0.0005027216,0.000476361,0.0001972478,0.0006166752,0.0003646172,0.0004046055,0.001166663],"category_scores_gemma":[0.0002861256,0.0003531828,0.0002872194,0.0003994714,0.0001808549,0.0003877392,0.0003022513,0.000661933,0.0006423502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050126,"about_ca_system_score_gemma":0.0002466001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003672799,"about_ca_topic_score_gemma":0.001800402,"domain_scores_codex":[0.9997129,0.00002844126,0.0000173233,0.00007106509,0.0001394616,0.00003081863],"domain_scores_gemma":[0.9999082,0.00002951846,0.00001362375,0.00001585646,0.00002050591,0.00001232854],"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":[0.00002393383,0.00003806341,0.00007351363,0.00005158571,0.00001092485,0.00002561322,0.000009729175,0.0004670272,0.9941872,0.0002298479,0.0002736212,0.004608881],"study_design_scores_gemma":[0.000006871063,0.00002330642,0.0002393672,0.000001689205,0.000006082527,0.00001826822,0.000005485209,0.003289179,0.9949712,0.00005561022,0.001379914,0.000003154117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784716,0.003654067,0.1025031,0.0004470987,0.0002124277,0.0004182109,0.002034064,0.002720218,0.009539183],"genre_scores_gemma":[0.9423201,0.001186905,0.05188233,0.00005444931,0.0000278718,0.0001489307,0.0006564324,0.0001631875,0.00355985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001166663,"threshold_uncertainty_score":0.003902912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688892780436996,"score_gpt":0.2603640614108991,"score_spread":0.2434751336065292,"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."}}