{"id":"W2808016672","doi":"10.1038/s41929-018-0083-8","title":"Complete electron economy by pairing electrolysis with hydrogenation","year":2018,"lang":"en","type":"article","venue":"Nature Catalysis","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":221,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Canada Research Chairs","keywords":"Electrolysis; Electrosynthesis; Chemistry; Palladium; Electrochemistry; Inorganic chemistry; Electrolysis of water; Polymer electrolyte membrane electrolysis; Hydrogen; Electrolyte; Anode; Membrane; Redox; Aqueous solution; Catalysis; Organic chemistry; Electrode","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":[0.0003649021,0.0004148042,0.0007437713,0.000316334,0.0004518937,0.001045683,0.0007103667,0.0006075882,0.005228492],"category_scores_gemma":[0.0004957807,0.0003563726,0.0001674261,0.0004274854,0.0005117189,0.001673324,0.001391932,0.0009160527,0.001957388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979235,"about_ca_system_score_gemma":0.0003232876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001505335,"about_ca_topic_score_gemma":0.0003318191,"domain_scores_codex":[0.9996749,0.00004226975,0.00001990506,0.00007425303,0.000101932,0.00008673074],"domain_scores_gemma":[0.9998802,0.00003004527,0.00001062682,0.00004180094,0.00001960849,0.00001769033],"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":[0.001735122,0.0004952303,0.00116082,0.00090062,0.0001035837,0.0004570746,0.0003212653,0.002461621,0.7750467,0.07666753,0.006076508,0.134574],"study_design_scores_gemma":[0.0000625912,0.0002236547,0.0003216459,0.00001752875,0.00002210392,0.0001688671,0.00005623254,0.002855849,0.9703965,0.00692003,0.01893616,0.00001889221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510182,0.005149609,0.06590927,0.001255734,0.001172296,0.0001919202,0.000458463,0.001233507,0.07361109],"genre_scores_gemma":[0.9874659,0.0008887963,0.004218369,0.00009502072,0.00005366521,0.00003206281,0.0001342686,0.00008334237,0.007028574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005228492,"threshold_uncertainty_score":0.01749104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003668986308519981,"score_gpt":0.2175285480885885,"score_spread":0.2138595617800685,"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."}}