{"id":"W2937304472","doi":"10.1021/acsaem.9b00216","title":"Grafting of a Molecular Rhenium CO <sub>2</sub> Reduction Catalyst onto Colloid-Imprinted Carbon","year":2019,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rhenium; Nanoporous; Catalysis; Colloid; Grafting; Electrode; Electrochemistry; Glassy carbon; Materials science; Acetonitrile; Carbon fibers; Electrocatalyst; Inorganic chemistry; Chemical engineering; Chemistry; Nanotechnology; Organic chemistry; Cyclic voltammetry; Physical chemistry; Composite material; Polymer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003364464,0.0003522907,0.0006446263,0.0002262161,0.00006316911,0.0000586859,0.0003034421,0.0002917529,0.0001274348],"category_scores_gemma":[0.00001433622,0.0003698204,0.0001042579,0.0003641617,0.00007833839,0.00008329863,0.0001481841,0.00009375826,0.00004092422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629626,"about_ca_system_score_gemma":0.00006612963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101973,"about_ca_topic_score_gemma":0.00007417669,"domain_scores_codex":[0.9977666,0.00007634825,0.0007793164,0.0005855824,0.0003717699,0.0004204515],"domain_scores_gemma":[0.9984835,0.00001933902,0.0004647707,0.0008055855,0.0001279181,0.00009882572],"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":[0.0001640268,0.00006445328,0.000004493368,0.0000713458,0.00009135556,0.000002125839,0.0001099743,0.0003584735,0.9676828,0.02929728,0.00009892903,0.002054759],"study_design_scores_gemma":[0.0005105961,0.00006106226,0.00003259674,0.00004035188,0.00006269995,0.00002872957,0.0001415395,0.000006933336,0.995093,0.001082848,0.00256654,0.0003731079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841909,0.00005800119,0.0001075765,0.00003188784,0.0006103437,0.0002905205,0.00001997186,0.0003284914,0.01436228],"genre_scores_gemma":[0.9985682,0.00008171597,0.0001178202,0.00004593113,0.000194481,0.0002343069,0.0003511709,0.00009668403,0.0003097087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02821443,"threshold_uncertainty_score":0.9998754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005578622219501125,"score_gpt":0.2101131653662628,"score_spread":0.2045345431467617,"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."}}