{"id":"W3024692322","doi":"10.1149/ma2020-01361484mtgabs","title":"Electrochemically Enhancing Nanostructured Fe-Oxide/Co<sub>3</sub>O<sub>4 </sub>for the Reverse Water Gas Shift Reaction","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Water-gas shift reaction; Catalysis; Oxide; Carbon monoxide; Chemical engineering; Materials science; Cobalt oxide; Hydrogen; Syngas; Oxygen; Carbon fibers; Inorganic chemistry; Nanotechnology; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006230534,0.0002288582,0.0001778672,0.0001523431,0.0001341268,0.0002349758,0.0002691515,0.0003222085,0.0008553943],"category_scores_gemma":[0.0001613411,0.0001719235,0.0001651344,0.00009435818,0.0001376168,0.0002026338,0.0001444993,0.0002995118,0.0003268596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362482,"about_ca_system_score_gemma":0.000116337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005726978,"about_ca_topic_score_gemma":0.002360971,"domain_scores_codex":[0.9999385,0.000002379754,0.000003382054,0.0000121987,0.00002986729,0.00001371038],"domain_scores_gemma":[0.9999478,0.000006092226,0.000016685,0.000003352656,0.00001589403,0.00001027905],"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":[0.00003315946,0.0000160212,0.0001009689,0.00006564697,0.000003237805,0.00005438869,0.00001106745,0.0001541227,0.9970658,0.0001078574,0.0001803653,0.00220738],"study_design_scores_gemma":[0.000007972253,0.00006639937,0.0009746106,0.00000506269,0.000009662853,0.00007909454,0.00001526556,0.002288428,0.9938474,0.00003841058,0.002662573,0.000004986463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730248,0.002129928,0.01469694,0.0003112886,0.0003546247,0.00007357829,0.0002761873,0.0003863265,0.008746379],"genre_scores_gemma":[0.9827911,0.0006495266,0.01159447,0.00009583176,0.00002345387,0.00003613548,0.0001294964,0.00005443837,0.004625626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008553943,"threshold_uncertainty_score":0.002861559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035107970196979,"score_gpt":0.219184502091613,"score_spread":0.2088334223896433,"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."}}