{"id":"W2611222028","doi":"10.1021/jacs.6b11408","title":"Characterizing Substrate–Surface Interactions on Alumina-Supported Metal Catalysts by Dynamic Nuclear Polarization-Enhanced Double-Resonance NMR Spectroscopy","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Division of Engineering Education and Centers; Division of Graduate Education; Laboratory Directed Research and Development; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Chemistry; Catalysis; Nuclear magnetic resonance spectroscopy; Spectroscopy; Polarization (electrochemistry); Chemical physics; Metal; Chemical engineering; Nanotechnology; Physical chemistry; Organic chemistry; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.00009568254,0.0002174346,0.0003754142,0.000008789653,0.0005219058,0.000107891,0.0009697176,0.00006877168,0.00008100126],"category_scores_gemma":[0.00004685831,0.0001695209,0.0004714697,0.0001332548,0.0004773737,0.0002998575,0.0001355996,0.0008059246,0.000007171325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003103706,"about_ca_system_score_gemma":0.00005296034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000534635,"about_ca_topic_score_gemma":0.000001550923,"domain_scores_codex":[0.9986897,0.00001050608,0.0004441171,0.00025516,0.0003123813,0.0002881236],"domain_scores_gemma":[0.9971609,0.00005129012,0.001859702,0.0006827206,0.0001238668,0.0001215275],"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":[0.0000875991,0.0001429324,0.0001499314,0.000009099912,0.00007918256,8.93472e-7,0.0001096073,0.000009865294,0.9972118,0.00002884868,0.001543159,0.0006271291],"study_design_scores_gemma":[0.0003929234,0.00002657833,0.0006516775,0.00007857889,0.00006882139,0.00003002616,0.000249719,0.0004874767,0.9920109,0.00008759549,0.005726193,0.000189536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954091,0.00003236189,0.0006001553,0.002794218,0.00004111299,0.00007549784,0.00006561026,0.0000496782,0.0009322657],"genre_scores_gemma":[0.9925056,0.0001600594,0.006259359,0.0003428651,0.0001252415,0.000006024927,0.00001977989,0.00004252047,0.0005385102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005659204,"threshold_uncertainty_score":0.6912861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039664550277614,"score_gpt":0.2972173314213287,"score_spread":0.2868206859185526,"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."}}