{"id":"W2335079771","doi":"10.1021/jp507470v","title":"Multinuclear Solid-State NMR Studies of Polymer-Supported Scandium Triflate Catalysts","year":2014,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation","keywords":"Trifluoromethanesulfonate; Catalysis; Solid-state nuclear magnetic resonance; Polymer; Scandium; Materials science; Polystyrene; Chemistry; Crystallography; Inorganic chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001781909,0.0002319585,0.0002496611,0.0003289798,0.0002297541,0.0002582547,0.0002793984,0.0003073979,0.001160987],"category_scores_gemma":[0.0003593271,0.0001314574,0.0001525821,0.0002315146,0.0002867783,0.0002450076,0.000217312,0.0002939014,0.0002059933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130969,"about_ca_system_score_gemma":0.0001545811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743941,"about_ca_topic_score_gemma":0.002299391,"domain_scores_codex":[0.9998454,0.00001720589,0.00001479446,0.0000245793,0.00005474751,0.00004328919],"domain_scores_gemma":[0.9998391,0.00004525992,0.00004216717,0.00001173368,0.00003634143,0.00002538536],"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":[0.0001548158,0.00001654188,0.0002702178,0.00004912231,0.0000075019,0.00007125938,0.00007979614,0.0002210695,0.9981,0.0001112198,0.00006137947,0.0008571247],"study_design_scores_gemma":[0.00001633843,0.0002244028,0.002488704,0.00001054259,0.000009418824,0.00008580105,0.000105537,0.002271549,0.9938254,0.00003219924,0.0009177012,0.00001234891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997993,0.0002879941,0.000324338,0.00002763733,0.000005514386,0.000004402355,0.0001056593,0.00001968098,0.001231911],"genre_scores_gemma":[0.9984789,0.000215744,0.0004936932,0.00001019683,0.000004245759,0.000004906989,0.0002563747,0.000008652753,0.0005271314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743941,"threshold_uncertainty_score":0.003883839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525373725656501,"score_gpt":0.3124795681616753,"score_spread":0.2972258309051103,"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."}}