{"id":"W2792281732","doi":"10.1039/c8cc00293b","title":"Direct <sup>17</sup>O dynamic nuclear polarization of single-site heterogeneous catalysts","year":2018,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ames Laboratory; Natural Sciences and Engineering Research Council of Canada; Government of Canada; U.S. Department of Energy","keywords":"Catalysis; Polarization (electrochemistry); Chemistry; Nuclear reaction; Radiochemistry; Materials science; Physics; Nuclear physics; Physical chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000529239,0.000162439,0.0002108633,0.000047651,0.0002332904,0.0000212008,0.001011152,0.0001680309,0.0001916271],"category_scores_gemma":[0.0000893493,0.0001783451,0.0001086155,0.0002964234,0.0005461194,0.00009422319,0.0004895693,0.0002120359,0.00005649749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132855,"about_ca_system_score_gemma":0.00001962454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003667759,"about_ca_topic_score_gemma":0.00001441749,"domain_scores_codex":[0.9989852,0.00001826857,0.0003844739,0.0002663466,0.000135985,0.0002097231],"domain_scores_gemma":[0.9970599,0.0001231951,0.0001899404,0.002334521,0.0001984279,0.00009395694],"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":[0.00000946882,0.0002609732,0.0000841392,0.00002344015,0.00002360309,1.754466e-7,0.0002272007,0.00004563566,0.996138,0.0007519894,0.0003605358,0.002074805],"study_design_scores_gemma":[0.0002234003,0.00002905716,0.00001853705,0.0000842697,0.00006920534,0.00001802202,0.00006361849,0.0293138,0.9013234,0.001076683,0.06746878,0.0003112277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8871171,0.0008747575,0.004422172,0.001210669,0.000006184952,0.0003244884,0.000484818,0.001028047,0.1045317],"genre_scores_gemma":[0.9801469,0.00007107309,0.01840183,0.00009474352,0.00003831719,0.00007143124,0.0006902998,0.00004704928,0.0004383045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1040934,"threshold_uncertainty_score":0.7272701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862556948424992,"score_gpt":0.2810669907123506,"score_spread":0.2624414212281007,"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."}}