{"id":"W7028107331","doi":"","title":"Electrochemical reduction of carbon dioxide to low- molecular-weight organic molecules","year":2016,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrochemical reduction of carbon dioxide; Carbon dioxide; Electrochemistry; Cathode; Process (computing); Electrolyte; Electrode; Carbon fibers; Reduction (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480062,0.0002935695,0.0002291678,0.0001684356,0.0002011777,0.0004916349,0.0003836468,0.0003539653,0.002795371],"category_scores_gemma":[0.0002234933,0.0001696767,0.0002401162,0.0002030427,0.0001874434,0.0003082552,0.0002929592,0.0006653481,0.001472077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374962,"about_ca_system_score_gemma":0.000315578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005084079,"about_ca_topic_score_gemma":0.0009634091,"domain_scores_codex":[0.9998697,0.000009350036,0.000006324301,0.00002433658,0.00006509936,0.00002524572],"domain_scores_gemma":[0.999961,0.00001160907,0.000005588573,0.000004258403,0.00001333726,0.00000411879],"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":[0.00008804242,0.0001037219,0.0002246699,0.001770203,0.0000266557,0.0002011728,0.0002149728,0.001282257,0.9136404,0.010337,0.006369262,0.06574164],"study_design_scores_gemma":[0.00001213189,0.0001714402,0.0005742818,0.00007600859,0.00001206422,0.0001247369,0.00005306472,0.001732976,0.9097846,0.0006362261,0.08680825,0.00001422831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5783439,0.1142122,0.1123248,0.008460046,0.006765936,0.0007399489,0.001928493,0.001273294,0.1759513],"genre_scores_gemma":[0.7662892,0.08241028,0.02743363,0.0008545496,0.0004381715,0.0003004501,0.0007952131,0.00007657039,0.1214018],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002795371,"threshold_uncertainty_score":0.009351432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00640382140610019,"score_gpt":0.261179983672253,"score_spread":0.2547761622661528,"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."}}