{"id":"W4302362665","doi":"10.1038/s41560-022-01130-6","title":"Continuous CO2 electrolysis using a CO2 exsolution-induced flow cell","year":2022,"lang":"en","type":"article","venue":"Nature Energy","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":225,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolysis; Chemical engineering; Current density; Catalysis; Cathode; Current (fluid); Materials science; Stack (abstract data type); Carbon fibers; Diffusion; Polymer electrolyte membrane electrolysis; Electrode; Electrochemistry; Forced convection; Chemistry; Convection; Electrolyte; Thermodynamics; Composite material","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":[0.0003402332,0.0003570661,0.0004998558,0.0004406002,0.0005827359,0.0006987156,0.0009352838,0.0005712555,0.002002165],"category_scores_gemma":[0.0002248033,0.0002251317,0.0002132492,0.0004128282,0.0003752398,0.0006051689,0.000348242,0.0007051851,0.0005177472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364408,"about_ca_system_score_gemma":0.0007607423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001977471,"about_ca_topic_score_gemma":0.002476744,"domain_scores_codex":[0.9996907,0.00001923185,0.0000201179,0.0001007886,0.0001284022,0.00004083123],"domain_scores_gemma":[0.9998655,0.00004093301,0.0000118076,0.0000225329,0.00003816409,0.00002102233],"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":[0.0003177772,0.0001115266,0.0002624177,0.00005980357,0.000007153179,0.00004063659,0.00002491206,0.0002408983,0.9897553,0.0004430841,0.0002522155,0.008484216],"study_design_scores_gemma":[0.00004351092,0.000135617,0.000534476,0.000002102386,0.000006091126,0.00003750157,0.000007071708,0.004781869,0.9924706,0.0000435624,0.001930338,0.000007265027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363751,0.001062053,0.0536862,0.0004083432,0.0002981037,0.0002262623,0.0009886596,0.001532442,0.005422794],"genre_scores_gemma":[0.9788517,0.0003330662,0.01669766,0.00006045944,0.00004629945,0.00007474828,0.0003036891,0.00004492197,0.003587451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002002165,"threshold_uncertainty_score":0.006697834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006678249011809905,"score_gpt":0.2281095790517068,"score_spread":0.2214313300398969,"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."}}