{"id":"W2514793573","doi":"10.1016/j.jmr.2016.08.005","title":"Field-stepped broadband NMR in pulsed magnets and application to SrCu2(BO3)2 at 54 T","year":2016,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced Condensed Matter Physics","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brockhouse Institute for Materials Research; McMaster University","funders":"European Social Fund; Graduate School BuildMoNa; McMaster University; Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Freistaat Sachsen; Deutsche Forschungsgemeinschaft","keywords":"Magnet; Magnetic field; Paramagnetism; Spectral line; NMR spectra database; Condensed matter physics; Field (mathematics); Materials science; Nuclear magnetic resonance; Chemistry; Physics","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":[0.0006038032,0.0003306826,0.000453488,0.0004102431,0.0005425399,0.0004785082,0.0007301373,0.0008359019,0.002113133],"category_scores_gemma":[0.0005963339,0.0004599302,0.0001796427,0.0005925758,0.0006939307,0.0006451283,0.000571414,0.0006958847,0.0003605661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003505829,"about_ca_system_score_gemma":0.000232489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172559,"about_ca_topic_score_gemma":0.002437739,"domain_scores_codex":[0.999767,0.00006857438,0.000009946631,0.00004810365,0.00005345511,0.00005293209],"domain_scores_gemma":[0.9997769,0.0001052303,0.00002794763,0.00002980104,0.00003303983,0.0000271493],"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":[0.0002412596,0.00003278013,0.0001234553,0.0001414675,0.000009397452,0.000099661,0.000064651,0.0003751162,0.9945233,0.000444581,0.0003537126,0.003590627],"study_design_scores_gemma":[0.0001043235,0.0004420278,0.001532559,0.00003740177,0.00003773845,0.0003007198,0.00006202912,0.005482985,0.9868368,0.0002791256,0.004860475,0.0000237753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953149,0.00288211,0.03230449,0.001014299,0.0001518334,0.0001086663,0.0003550034,0.0009132662,0.009121464],"genre_scores_gemma":[0.9632272,0.001376682,0.03189393,0.0002204706,0.00006948511,0.00005935888,0.0002728889,0.0001089773,0.002771119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002113133,"threshold_uncertainty_score":0.007069111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004062708758065668,"score_gpt":0.2286547596711562,"score_spread":0.2245920509130906,"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."}}