{"id":"W3045290202","doi":"10.1002/ange.202007875","title":"Rücktitelbild: Ternary Sn‐Ti‐O Electrocatalyst Boosts the Stability and Energy Efficiency of CO<sub>2</sub> Reduction (Angew. Chem. 31/2020)","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan; McMaster University; University of Waterloo","funders":"","keywords":"Ternary operation; Electrocatalyst; Chemistry; Materials science; Physical chemistry; Electrochemistry; Electrode; Computer science","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":[0.00007927929,0.0002784411,0.0002165878,0.0002373694,0.0001979789,0.0002782948,0.0003771238,0.0004589733,0.0051217],"category_scores_gemma":[0.0001371263,0.0001261834,0.0001624742,0.00016837,0.0002249472,0.000352671,0.0002128932,0.000331539,0.001211688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134006,"about_ca_system_score_gemma":0.0001478991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009417,"about_ca_topic_score_gemma":0.001664948,"domain_scores_codex":[0.9999331,0.000003338989,0.000003984514,0.00002420244,0.00002262551,0.00001276445],"domain_scores_gemma":[0.9999675,0.00000580156,0.000007383277,0.000004399721,0.000009614056,0.000005253578],"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":[0.0002168136,0.00004296435,0.00007068473,0.0001056544,0.00000743085,0.00005123289,0.00001271104,0.0001912485,0.9896566,0.0004654189,0.0009552701,0.008223983],"study_design_scores_gemma":[0.00001115865,0.0001340639,0.0003357245,0.000002908112,0.000009352418,0.00004944175,0.000005064428,0.001033297,0.9953744,0.0000590469,0.002980526,0.000005001331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498975,0.007115349,0.01228155,0.0007568371,0.0009852923,0.00007135302,0.0007742587,0.00200408,0.02611385],"genre_scores_gemma":[0.9722659,0.001165884,0.003671471,0.0001732099,0.00006337003,0.00003037171,0.0005649516,0.0000926365,0.02197227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0051217,"threshold_uncertainty_score":0.01713383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249886168916042,"score_gpt":0.2270642956309894,"score_spread":0.2145654339418289,"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."}}