{"id":"W2018355374","doi":"10.1063/1.2429658","title":"High-frequency dynamic nuclear polarization using mixtures of TEMPO and trityl radicals","year":2007,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Electron paramagnetic resonance; Chemistry; Radical; Polarization (electrochemistry); Larmor precession; Spins; Spectral line; Nuclear magnetic resonance; Dipole; Analytical Chemistry (journal); Molecular physics; Magnetic field; Physical chemistry; Condensed matter physics; Organic chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008550859,0.0008333689,0.0004752954,0.0003576359,0.0002540874,0.00056879,0.0006168102,0.0005892102,0.001004236],"category_scores_gemma":[0.000763682,0.00037166,0.0002776561,0.0003162276,0.0003663408,0.0008499285,0.0007001984,0.001434896,0.0003397391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002383008,"about_ca_system_score_gemma":0.0002148654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002069293,"about_ca_topic_score_gemma":0.0004108143,"domain_scores_codex":[0.999431,0.0001552455,0.00003442854,0.0001441515,0.0001494093,0.00008575073],"domain_scores_gemma":[0.9996318,0.00008981171,0.0001171148,0.00005062293,0.00006292967,0.00004767554],"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":[0.00007380937,0.00002751387,0.00005597114,0.00007511483,0.000009937407,0.00005347439,0.0000404194,0.0001002469,0.9958761,0.0003712853,0.00006249697,0.003253659],"study_design_scores_gemma":[0.00001754897,0.0001927965,0.0001136283,0.00000496547,0.00001419583,0.0001005011,0.000008984406,0.0005917441,0.9964641,0.00005893525,0.002424035,0.000008413227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547915,0.005073516,0.1342527,0.000514358,0.0003111238,0.0003810321,0.0001415058,0.000496141,0.00403803],"genre_scores_gemma":[0.9214279,0.004037005,0.06914593,0.0002630283,0.0001222461,0.0003450625,0.0002745453,0.0001087709,0.004275463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001004236,"threshold_uncertainty_score":0.004522204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041350804850791,"score_gpt":0.2814140119402413,"score_spread":0.2710005038917335,"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."}}