{"id":"W2068195271","doi":"10.1016/j.jmr.2010.08.022","title":"Testing the sensitivity limits of 33S NMR: An ultra-wideline study of elemental sulfur","year":2010,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"University of Ottawa; Ontario Innovation Trust","keywords":"Coupling constant; Sulfur; Carbon-13 NMR satellite; Chemistry; J-coupling; Solid-state nuclear magnetic resonance; Solid-state; Nuclear magnetic resonance; Molecule; Nuclear magnetic resonance spectroscopy; Fluorine-19 NMR; Analytical Chemistry (journal); Physical chemistry; Physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005123683,0.0001065021,0.0002349727,0.00002755886,0.00006393726,0.000008754557,0.0002660652,0.00004688414,0.00007366233],"category_scores_gemma":[0.0003098405,0.00007586602,0.00006004196,0.0001529975,0.00009887759,0.0000821213,0.0000225669,0.000415368,3.917932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001138377,"about_ca_system_score_gemma":0.00004002343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004834133,"about_ca_topic_score_gemma":0.00007472893,"domain_scores_codex":[0.9987482,0.00003334475,0.0006480752,0.0001231483,0.0003129625,0.0001342728],"domain_scores_gemma":[0.9981699,0.0003264961,0.0006922033,0.0003720836,0.0003846474,0.00005466671],"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":[0.00003603905,0.0005453678,0.01292773,0.00001677933,0.000004727837,0.000009155765,0.000161561,0.00006792924,0.9105381,0.00004882109,0.00008439874,0.07555943],"study_design_scores_gemma":[0.001558534,0.001603522,0.1126116,0.0001743955,0.00009919824,0.0003923513,0.002291861,0.001391316,0.8707153,0.0007554991,0.008167197,0.0002391872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983092,0.0003409068,0.0001541705,0.0001344543,0.00001599454,0.0001135072,0.00001892651,0.00001123751,0.000901583],"genre_scores_gemma":[0.9887192,0.00004807112,0.01095026,0.0000236792,0.00015783,0.000005544286,7.912114e-7,0.00001298256,0.00008166157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0996839,"threshold_uncertainty_score":0.3093727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849722914829435,"score_gpt":0.3064924502260936,"score_spread":0.2779952210777992,"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."}}