{"id":"W3019817751","doi":"10.3390/catal10050473","title":"Electrochemical Reactors for CO2 Conversion","year":2020,"lang":"en","type":"article","venue":"Catalysts","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Process engineering; Carbon fibers; Environmental science; Electrochemical reduction of carbon dioxide; Computer science; Reactor design; Biochemical engineering; Carbon monoxide; Catalysis; Chemistry; Engineering","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":[0.000802805,0.0007222752,0.0008175989,0.0009388672,0.0004910371,0.001685101,0.00103712,0.001534681,0.006838228],"category_scores_gemma":[0.0008928602,0.0005104761,0.0005779427,0.000957693,0.000407658,0.001584225,0.0007803824,0.002435756,0.004845971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009773169,"about_ca_system_score_gemma":0.0004320671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004773065,"about_ca_topic_score_gemma":0.0009244327,"domain_scores_codex":[0.9990047,0.000129537,0.00005269738,0.0002546273,0.0004828859,0.00007568779],"domain_scores_gemma":[0.9997913,0.00007493126,0.00001823422,0.00003360699,0.00006845706,0.00001354609],"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":[0.0003151417,0.0002641407,0.0004936138,0.005304802,0.0001465978,0.0004256051,0.0001865035,0.002791784,0.6357627,0.07804491,0.01604019,0.260224],"study_design_scores_gemma":[0.00004414446,0.0002696749,0.000523109,0.000285695,0.00007267267,0.0007849876,0.00006725259,0.006058627,0.535051,0.008679741,0.4481,0.00006311022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05297401,0.505825,0.2858529,0.004386087,0.006286177,0.0006236039,0.002010454,0.00276778,0.1392739],"genre_scores_gemma":[0.5153207,0.2377114,0.1696959,0.001641229,0.001169592,0.0005709655,0.00218493,0.0003904977,0.07131481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006838228,"threshold_uncertainty_score":0.02287614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701899877039341,"score_gpt":0.2440367475742184,"score_spread":0.227017748803825,"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."}}