{"id":"W4392704888","doi":"10.29363/nanoge.matsus.2024.301","title":"Computational Screening Of Non-copper-based Catalysts For Electrochemical CO2 Reduction Reaction","year":2023,"lang":"en","type":"article","venue":"","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Copper; Electrochemistry; Catalysis; Reduction (mathematics); Chemistry; Materials science; Computer science; Inorganic chemistry; Electrode; Metallurgy; Mathematics; Organic chemistry; Physical chemistry","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":[0.0009656754,0.0008680389,0.001236967,0.0009747284,0.0007842884,0.001121181,0.001735626,0.001507393,0.002719474],"category_scores_gemma":[0.003097121,0.0004462968,0.000946167,0.000971765,0.0006510274,0.0006013548,0.0008809848,0.0009146882,0.0002572715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189061,"about_ca_system_score_gemma":0.001811022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009145916,"about_ca_topic_score_gemma":0.01258864,"domain_scores_codex":[0.999737,0.0001055945,0.0000130226,0.00002389909,0.00006418091,0.00005626234],"domain_scores_gemma":[0.9980407,0.001594437,0.00006369855,0.00007436895,0.0001469474,0.00007984819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002835956,0.0002096984,0.002997041,0.0002525288,0.0001136954,0.0002447964,0.00003660546,0.9807796,0.0006840463,0.006104134,0.001770745,0.006523444],"study_design_scores_gemma":[0.00007412549,0.00006337895,0.0003675176,0.00001155817,0.00002091513,0.00001235064,0.00003921782,0.9972566,0.0003697895,0.001398862,0.0003799053,0.00000582283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478922,0.002090956,0.0147812,0.001677509,0.0001682124,0.0001879866,0.001957282,0.0004444683,0.0308002],"genre_scores_gemma":[0.9829154,0.0005442026,0.01238578,0.0003259443,0.00004372463,0.0002870039,0.001664991,0.00005503033,0.001777956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009145916,"threshold_uncertainty_score":0.01818538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187574269443584,"score_gpt":0.2850406689651482,"score_spread":0.2662832420207898,"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."}}