{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004935158,0.0001213913,0.0001703578,0.00003232341,0.00005549911,0.00001652043,0.0001717789,0.0001009013,0.0001058171],"category_scores_gemma":[0.00009832275,0.0001185729,0.0001396953,0.0001865557,0.00003460134,0.00008069388,0.0000423313,0.0000993257,0.0001194684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000567916,"about_ca_system_score_gemma":0.00003217954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995092,"about_ca_topic_score_gemma":0.000002798824,"domain_scores_codex":[0.9992014,0.000009493556,0.0001696251,0.000288465,0.0001185997,0.0002124176],"domain_scores_gemma":[0.9994763,0.00003214494,0.00005929644,0.0001990997,0.000066054,0.0001671678],"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":[0.0001400296,0.00003141635,0.00005088502,0.00006645136,0.00004182609,0.000003360153,0.0002425954,0.000001196432,0.9239821,0.004511134,0.06610449,0.004824521],"study_design_scores_gemma":[0.0002348353,0.00006541092,0.00001636399,0.000004256055,0.00002315267,0.000006919554,0.0000403562,0.00009681403,0.6956033,0.0002275692,0.303564,0.0001170655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9208531,0.001092381,0.02502325,0.01374243,0.0009884033,0.001604654,0.00007166115,0.003068211,0.03355593],"genre_scores_gemma":[0.9976776,0.00001754156,0.0004186543,0.0006020429,0.0003325704,0.0000473531,0.0004058763,0.00002699632,0.0004713227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2374595,"threshold_uncertainty_score":0.4835261,"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."}}