{"id":"W3087068950","doi":"10.3390/nano10091884","title":"Three-Dimensional Cathodes for Electrochemical Reduction of CO2: From Macro- to Nano-Engineering","year":2020,"lang":"en","type":"review","venue":"Nanomaterials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Renewable energy; Greenhouse gas; Raw material; Materials science; Environmental science; Macro; Nanotechnology; Added value; Cathode; Limiting; Software deployment; Process engineering; Computer science; Engineering; Business; Mechanical engineering; Chemistry; Electrical 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":[0.0003333153,0.0007044493,0.0006705432,0.001153444,0.0001864368,0.0008798757,0.0005993958,0.0008501537,0.001252645],"category_scores_gemma":[0.0002339473,0.0003513726,0.0005354814,0.001132496,0.0002651168,0.001127164,0.0006277753,0.0009500554,0.001016851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450721,"about_ca_system_score_gemma":0.0003693647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005382746,"about_ca_topic_score_gemma":0.001026854,"domain_scores_codex":[0.9998555,0.0000148422,0.00001244176,0.00002611594,0.00007551472,0.0000155528],"domain_scores_gemma":[0.9999312,0.00002498054,0.00001110006,0.000004185862,0.00002318668,0.000005291764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006973908,0.0001510919,0.0002593823,0.03104725,0.0001451583,0.0004413921,0.0001868902,0.001444863,0.1055662,0.02848226,0.01401998,0.8181858],"study_design_scores_gemma":[0.00001286118,0.0001782701,0.0006460085,0.002052822,0.0001083631,0.001280137,0.00008704911,0.001050936,0.03641941,0.005260272,0.9528673,0.00003665507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00164014,0.9942298,0.001132457,0.0002933624,0.0001621152,0.000009606871,0.00002304779,0.00001853511,0.002490899],"genre_scores_gemma":[0.006825346,0.9896979,0.001337373,0.0001419899,0.00008694941,0.00001643543,0.00004297581,0.000006170798,0.001844929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001252645,"threshold_uncertainty_score":0.004190564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660115014015663,"score_gpt":0.2922492199497684,"score_spread":0.2656480698096118,"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."}}