{"id":"W3127623051","doi":"10.1038/s41560-020-00761-x","title":"Designing anion exchange membranes for CO2 electrolysers","year":2021,"lang":"en","type":"article","venue":"Nature Energy","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":458,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Toronto; Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Renewable energy; Electrochemical reduction of carbon dioxide; Process engineering; Nanotechnology; Membrane; Materials science; Carbon fibers; Carbon dioxide; Biochemical engineering; Catalysis; Chemistry; Engineering; Organic chemistry; Electrical engineering; Carbon monoxide","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107083,0.0001558126,0.0001890985,0.00008803311,0.0001192159,0.00003858589,0.0001292259,0.0003903487,0.0002600823],"category_scores_gemma":[0.00006991976,0.0001531658,0.0001582223,0.0003378187,0.00001659664,0.00009282065,0.00003271476,0.0002178169,0.000003199789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006685945,"about_ca_system_score_gemma":0.00006015023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001564836,"about_ca_topic_score_gemma":0.0003688822,"domain_scores_codex":[0.9989998,0.00004890957,0.0001549712,0.0003351109,0.0001733218,0.0002878548],"domain_scores_gemma":[0.9993567,0.00006336642,0.00006259766,0.0002676584,0.0001812235,0.00006847313],"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":[0.000143538,0.00009813871,0.000006751468,0.00018975,0.0001436605,0.00004192934,0.0001341156,0.0003394395,0.6662716,0.1338854,0.04505731,0.1536884],"study_design_scores_gemma":[0.000170156,0.00002897343,0.000003730524,0.000008937775,0.00001685121,0.00002989705,0.00003392401,0.00007289014,0.5079939,0.002271952,0.4892605,0.0001083174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05893611,0.3597817,0.315303,0.01379552,0.01170947,0.001208635,0.0001203275,0.006345528,0.2327997],"genre_scores_gemma":[0.9747434,0.001735335,0.005191491,0.001471787,0.001085267,0.0001664097,0.0003767,0.00006797759,0.01516162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9158073,"threshold_uncertainty_score":0.624592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008997925602420562,"score_gpt":0.2513914506548407,"score_spread":0.2423935250524201,"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."}}