{"id":"W2624125514","doi":"10.1016/s1090-7807(02)00192-1","title":"Dynamic nuclear polarization at 9T using a novel 250GHz gyrotron microwave source","year":2003,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":233,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Microwave; Gyrotron; Chemistry; Nuclear magnetic resonance; Magic angle spinning; Polarization (electrochemistry); Spectral line; Nitroxide mediated radical polymerization; Analytical Chemistry (journal); Spinning; Nuclear magnetic resonance spectroscopy; Molecular physics; Electron; 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":[0.0001138883,0.0001384528,0.0001908338,0.00005033106,0.00013789,0.00002648387,0.0001985102,0.0001048523,0.0004478405],"category_scores_gemma":[0.00007501854,0.0001351102,0.0001016951,0.0001462275,0.00006065046,0.0001008777,0.00003858236,0.0002534017,0.000008008286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169615,"about_ca_system_score_gemma":0.00003847528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004422333,"about_ca_topic_score_gemma":0.000002224713,"domain_scores_codex":[0.9989643,0.00001357419,0.0004217812,0.0001643995,0.0002216041,0.0002143692],"domain_scores_gemma":[0.9990905,0.00003318267,0.0004206237,0.0002493219,0.0001239998,0.00008237443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000332373,0.00008329874,0.0003295117,0.00002268433,0.000004101995,0.000004280986,0.00006666712,0.0003758635,0.9852526,0.001085295,0.0001249904,0.0126175],"study_design_scores_gemma":[0.001406561,0.0001494181,0.001282815,0.0002988731,0.00007162807,0.001284165,0.0001356026,0.01284357,0.0613421,0.001632118,0.9191499,0.0004032306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804728,0.007121045,0.1073913,0.000188333,0.00003651937,0.0001141864,0.00001476252,0.0000470377,0.004613938],"genre_scores_gemma":[0.7451898,0.0004355322,0.2484134,0.0001355073,0.00006796434,0.000003524616,0.000002356562,0.00005948764,0.005692369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239105,"threshold_uncertainty_score":0.5509633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082046241396785,"score_gpt":0.2526060162248485,"score_spread":0.2417855538108806,"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."}}