{"id":"W6921154349","doi":"10.6084/m9.figshare.21354495.v2","title":"Delocalization State-Induced Selective Bond Breaking for Efficient Methanol Electrosynthesis from CO2","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrosynthesis; Methanol; Electrolysis; Catalysis; Delocalized electron; Electrochemistry","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":[0.001255708,0.0038851,0.00263142,0.003380811,0.00183208,0.00238221,0.004637882,0.00336581,0.0490614],"category_scores_gemma":[0.003099585,0.0009052895,0.002588553,0.005309087,0.0006539499,0.001256714,0.001931328,0.002199168,0.05235596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907871,"about_ca_system_score_gemma":0.002953964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390997,"about_ca_topic_score_gemma":0.05134571,"domain_scores_codex":[0.9988229,0.0001275741,0.00009625712,0.0004927385,0.0002841912,0.0001764097],"domain_scores_gemma":[0.9987745,0.0004173081,0.0001510602,0.0003143375,0.0002451301,0.00009760955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004325766,0.0001136136,0.001900646,0.00718474,0.000262856,0.00007239806,0.00005093019,0.00163862,0.002547825,0.0009198186,0.9777996,0.00707638],"study_design_scores_gemma":[0.001627358,0.0001572571,0.01119763,0.0007811842,0.0004359348,0.0001597739,0.0001247233,0.003397284,0.008515339,0.004600595,0.9688708,0.0001320952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006063133,0.0002881569,0.0001363827,0.00004468514,0.0000269158,0.00001813453,0.9974054,0.0007889876,0.0006850566],"genre_scores_gemma":[0.001323444,0.0001635421,0.000597925,0.00002815069,0.000005157891,0.00009631959,0.9972546,0.0001121116,0.0004187345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0490614,"threshold_uncertainty_score":0.1641268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937096370785985,"score_gpt":0.2672625704750934,"score_spread":0.2378916067672336,"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."}}