{"id":"W2937279328","doi":"10.1021/acssuschemeng.9b00576","title":"Amine-Functionalized Mesoporous Silica as a Support for on-Demand Release of Copper in the A<sup>3</sup>-Coupling Reaction: Ultralow Concentration Catalysis and Confinement Effect","year":2019,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Catalytic Cross-Coupling Reactions","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Catalysis; Mesoporous material; Mesoporous silica; Copper; Coupling reaction; Amine gas treating; Chemistry; Covalent bond; MCM-41; Heterogeneous catalysis; Chemical engineering; Catalyst support; Metal; Synergistic catalysis; Yield (engineering); Inorganic chemistry; Materials science; Organic chemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004431997,0.0003146111,0.0004104605,0.00005073302,0.00009684655,0.00007874694,0.0001834276,0.0001851983,0.0003296647],"category_scores_gemma":[0.0004984591,0.000295735,0.0001346894,0.0002460889,0.00005489215,0.0001506062,0.00002978818,0.0003230916,0.000006604986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003597384,"about_ca_system_score_gemma":0.0001358625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001359096,"about_ca_topic_score_gemma":3.657708e-7,"domain_scores_codex":[0.9982473,0.000001443439,0.0004670775,0.0004844839,0.00033279,0.0004669428],"domain_scores_gemma":[0.998309,0.0007044139,0.0001630868,0.0005455631,0.0001863154,0.00009158482],"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":[0.0002243091,0.0000865879,0.001421819,0.002110451,0.0001136625,0.00002175279,0.0003862831,0.09546071,0.8998985,0.0001567614,0.00007739125,0.00004178728],"study_design_scores_gemma":[0.002905929,0.00009501891,0.000126368,0.0001448845,0.000167978,0.00008594467,0.003553355,0.03228393,0.9553646,0.00003179056,0.004877564,0.0003625626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977425,0.0001540593,0.00003334861,0.0001125148,0.00002957225,0.0005587557,0.00002240671,0.00007684053,0.001269975],"genre_scores_gemma":[0.9946387,0.00002989651,0.00001761379,0.00001923429,0.0001063635,0.0002682104,0.000498586,0.00004495238,0.004376451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06317677,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003717934307610297,"score_gpt":0.2210014185708792,"score_spread":0.2172834842632689,"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."}}