{"id":"W2954468934","doi":"10.1007/s10858-019-00266-0","title":"Feasibility of trifluoromethyl TROSY NMR at high magnetic fields","year":2019,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Trifluoromethyl; Fluorine-19 NMR; Nuclear magnetic resonance spectroscopy; Relaxation (psychology); Transverse relaxation-optimized spectroscopy; Nuclear magnetic resonance; NMR spectra database; Abundance (ecology); Spectral line; Organic chemistry; Physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001795773,0.000127904,0.0003195465,0.00007130409,0.00003060227,0.00000940763,0.0003059449,0.0001496705,0.0007365133],"category_scores_gemma":[0.00005065046,0.0001109252,0.0002585433,0.0001747593,0.0000568623,0.00005906245,0.00007286681,0.0002182219,0.00002030494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009249368,"about_ca_system_score_gemma":0.00004210946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162468,"about_ca_topic_score_gemma":0.000001359259,"domain_scores_codex":[0.9988275,0.00002050962,0.0005354257,0.0001659951,0.0002851475,0.0001654812],"domain_scores_gemma":[0.9987521,0.00005457016,0.000451854,0.0004800743,0.0001669721,0.00009440417],"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":[0.00009097931,0.000148759,0.001746164,0.00008173084,0.00002530074,0.00001553131,0.00002645603,0.0000526875,0.9931998,0.0003249031,0.0003712082,0.003916539],"study_design_scores_gemma":[0.001178356,0.0003205205,0.001248091,0.00007583597,0.00006192036,0.0001142773,0.00003513888,0.0001179935,0.982998,0.00367775,0.009998409,0.0001736945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861978,0.0009003195,0.0110968,0.0002918901,0.00002509851,0.0001049998,0.00002182394,0.00004204972,0.001319216],"genre_scores_gemma":[0.9880793,0.0001119781,0.01080363,0.00006608697,0.00005671008,0.000003350787,0.000003933282,0.00002929765,0.0008456942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020173,"threshold_uncertainty_score":0.8064305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206369818426657,"score_gpt":0.2839155824290247,"score_spread":0.2718518842447581,"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."}}