{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008829896,0.0003930516,0.0001975401,0.0001985631,0.0001018953,0.0002336793,0.0003124841,0.0003393361,0.001007477],"category_scores_gemma":[0.0001993617,0.0002217441,0.000207514,0.0001498787,0.0001976375,0.0002067238,0.000144916,0.000278172,0.0004367905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742776,"about_ca_system_score_gemma":0.0001344599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006031349,"about_ca_topic_score_gemma":0.00124153,"domain_scores_codex":[0.9999079,0.000006622017,0.000005388145,0.00003391616,0.00002641529,0.00001974026],"domain_scores_gemma":[0.9998729,0.000034022,0.00003158463,0.00002126214,0.0000228982,0.00001728766],"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":[0.0000205852,0.000004918908,0.00003727556,0.00001732351,0.000003281674,0.00003002772,0.000003906916,0.00004976755,0.9989558,0.0000223394,0.00001817971,0.0008364911],"study_design_scores_gemma":[0.000002369614,0.00005176218,0.0007783344,0.000001033324,0.000005265687,0.00005433561,0.000002778731,0.0004970186,0.9981725,0.000005815492,0.0004262094,0.000002566179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881608,0.0006828863,0.007828879,0.00006441992,0.00006305222,0.00004124613,0.0001674981,0.0004109745,0.002580192],"genre_scores_gemma":[0.9863325,0.0004388645,0.009722981,0.00006377514,0.00002662857,0.00002937939,0.0002536339,0.00006746838,0.003064711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007477,"threshold_uncertainty_score":0.003370285,"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."}}