{"id":"W3200295200","doi":"10.26434/chemrxiv.13331204.v1","title":"Electrochemical Reduction of CO2 to Ethylene with 32% Lower Energy at 80% Lower Cost via Coproduction of Glycolic Acid","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; University of Saskatchewan; Canadian Light Source","keywords":"Anode; Electrolysis; Electrochemistry; Catalysis; Chemistry; Materials science; Chemical engineering; Pulp and paper industry; Electrolyte; Electrode; 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":[0.000226653,0.0004442986,0.0001859883,0.0002550453,0.00008695525,0.0002896586,0.0004318733,0.0003193348,0.001391031],"category_scores_gemma":[0.0002304626,0.0001441694,0.0002411792,0.0002223051,0.0001648481,0.0004623269,0.000270426,0.0004739839,0.0007855578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004081865,"about_ca_system_score_gemma":0.0002185519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007381264,"about_ca_topic_score_gemma":0.001793372,"domain_scores_codex":[0.9998087,0.00001659196,0.00001559348,0.00004136662,0.00008552386,0.00003220093],"domain_scores_gemma":[0.9999238,0.00001341346,0.00001873651,0.00001266575,0.0000217298,0.000009631971],"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":[0.00002985846,0.00001937149,0.000107991,0.00005728432,0.000005061361,0.00004076161,0.00001164272,0.0001206274,0.9944093,0.000218611,0.00007667668,0.00490281],"study_design_scores_gemma":[0.000004191686,0.00006977222,0.0003501567,0.000003248086,0.000006468442,0.00005503039,0.00000608983,0.0008638131,0.9961364,0.00002824144,0.002472269,0.0000044381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497071,0.004169563,0.03336231,0.0006278846,0.000219554,0.0001091429,0.0002174166,0.00044362,0.01114343],"genre_scores_gemma":[0.969255,0.001878714,0.01923489,0.0001608606,0.0000275367,0.00004369336,0.0002236425,0.00006361306,0.009112087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001391031,"threshold_uncertainty_score":0.004653454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135562542840845,"score_gpt":0.2370492773419449,"score_spread":0.2256936519135365,"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."}}