{"id":"W2971019158","doi":"10.1002/smll.201902582","title":"Porous Copper Microspheres for Selective Production of Multicarbon Fuels via CO<sub>2</sub> Electroreduction","year":2019,"lang":"en","type":"article","venue":"Small","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Foundation for Innovation; National Research Council; University of Saskatchewan; Canadian Light Source","keywords":"Copper; Materials science; Faraday efficiency; Iodide; Microsphere; Carbon dioxide; Inorganic chemistry; Chemical engineering; Electrode; Electrochemistry; Chemistry; Metallurgy; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001653958,0.0001816011,0.0002604766,0.00008740559,0.00006003956,0.00001485058,0.0001080227,0.0001501539,0.0000309674],"category_scores_gemma":[0.00004121233,0.0001825569,0.0001353675,0.0002332284,0.0000583003,0.0001088552,0.00001851391,0.0001352623,0.00003613512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466218,"about_ca_system_score_gemma":0.00005682596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003385806,"about_ca_topic_score_gemma":0.0001846363,"domain_scores_codex":[0.9988023,0.00003936447,0.0003006076,0.0004271122,0.0001346135,0.0002959959],"domain_scores_gemma":[0.9991289,0.0000233226,0.0001885361,0.0003240652,0.0002888652,0.00004630417],"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":[0.0002444691,0.0001221494,0.0001706117,0.00007735591,0.00006772359,2.158077e-7,0.0001891188,0.0001056395,0.9634462,0.0006279555,0.002932658,0.03201589],"study_design_scores_gemma":[0.0003774342,0.0003814449,0.0005462294,0.00002109811,0.00004854172,0.00003427681,0.0001136444,0.00005876428,0.9917479,0.001401753,0.005064336,0.000204615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951575,0.0001754375,0.0005017062,0.0001326993,0.000897622,0.000886572,0.000006389992,0.0002051049,0.002036995],"genre_scores_gemma":[0.9968226,0.00005110528,0.00105084,0.00002610579,0.0004033082,0.0001411442,0.0000764494,0.00004914291,0.00137932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03181127,"threshold_uncertainty_score":0.7444456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008367652917590503,"score_gpt":0.2305423517018716,"score_spread":0.2221746987842811,"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."}}