{"id":"W7133018033","doi":"","title":"Energy- and Carbon-efficient CO2 Electrolysis","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Queen's University; Institut de Ciències Fotòniques","keywords":"Renewable energy; Overpotential; Electricity; Electrolysis; Carbon fibers; Energy storage; Proton exchange membrane fuel cell; Galvanic cell","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":[0.00008568761,0.0003484632,0.0002074313,0.0001973831,0.0002136318,0.0007207374,0.0003004631,0.0004251453,0.002983891],"category_scores_gemma":[0.0001314381,0.0002588491,0.0002345112,0.0002316725,0.0001970495,0.0005321826,0.00032574,0.000589988,0.00159275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892165,"about_ca_system_score_gemma":0.0003028123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359516,"about_ca_topic_score_gemma":0.0008383836,"domain_scores_codex":[0.9998552,0.00000513953,0.000006639189,0.00004738545,0.00006615763,0.00001945996],"domain_scores_gemma":[0.9999675,0.000004975629,0.000004475149,0.000004072343,0.00001503179,0.000003899625],"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":[0.00004080376,0.00005424294,0.0001138819,0.0008395176,0.00001315705,0.00009946668,0.00009116928,0.001418102,0.9306628,0.01042767,0.003857759,0.05238146],"study_design_scores_gemma":[0.000007028928,0.00007074285,0.00032284,0.00003911488,0.000008187947,0.00008956766,0.00002639079,0.002578837,0.9371209,0.0006942165,0.0590308,0.00001138957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6037275,0.06247086,0.1506807,0.003394746,0.002976235,0.0003222865,0.001285333,0.002346854,0.1727955],"genre_scores_gemma":[0.827387,0.02860607,0.04540268,0.0003668348,0.0002146596,0.0001500343,0.0005612485,0.0002083215,0.09710322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002983891,"threshold_uncertainty_score":0.009982109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006770980267897416,"score_gpt":0.2782394817995447,"score_spread":0.2714685015316473,"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."}}