{"id":"W3037893158","doi":"10.1021/acsomega.0c01363","title":"Conversion of Methane into Methanol Using the [6,6′-(2,2′-Bipyridine-6,6′-Diyl)bis(1,3,5-Triazine-2,4-Diamine)](Nitrato-O)Copper(II) Complex in a Solid Electrolyte Reactor Fuel Cell Type","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Université du Québec à Trois-Rivières","keywords":"Electrolyte; Methanol; Chemistry; Copper; Reagent; Diamine; Bipyridine; Inorganic chemistry; Triazine; Carbon fibers; Electrode; Organic chemistry; Materials science; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004361039,0.0003727037,0.0006694224,0.0002582441,0.0001010504,0.00003355388,0.0006209643,0.0002326907,0.0001424825],"category_scores_gemma":[0.0002078588,0.0003069962,0.0002115005,0.001660711,0.0001471334,0.0002403342,0.0003083418,0.0004793186,0.00002186365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548166,"about_ca_system_score_gemma":0.0002150213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493112,"about_ca_topic_score_gemma":0.0001427089,"domain_scores_codex":[0.9975899,0.000228158,0.0007118859,0.0005295604,0.0004426276,0.0004978051],"domain_scores_gemma":[0.9984198,0.0001539389,0.0003668274,0.0006238195,0.0002514838,0.0001841556],"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":[0.0003605176,0.0001198604,0.00009244987,0.0001715919,0.0000678232,0.00001296056,0.001188822,0.0001319173,0.9949097,0.0002052677,0.001985207,0.0007538488],"study_design_scores_gemma":[0.001207827,0.0004623102,0.00007842499,0.00003618216,0.0001305065,0.00001882787,0.0005252321,0.001795654,0.915715,0.0003337925,0.07931426,0.0003820009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919385,0.001837352,0.0001803611,0.001916549,0.0002242195,0.0005029808,0.00001381917,0.0002094769,0.003176712],"genre_scores_gemma":[0.997055,0.000484412,0.001096827,0.0006852354,0.0002663205,0.00002395493,0.00008083244,0.00007253896,0.0002348884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07919475,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04093872985527417,"score_gpt":0.2884099197660861,"score_spread":0.2474711899108119,"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."}}