{"id":"W1972918302","doi":"10.1016/j.ssnmr.2014.05.005","title":"Feasibility of arsenic and antimony NMR spectroscopy in solids: An investigation of some group 15 compounds","year":2014,"lang":"en","type":"article","venue":"Solid State Nuclear Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Alberta Glycomics Centre; University of Alberta","funders":"Western Canada Research Grid; Compute Canada","keywords":"Chemistry; CASTEP; Bromide; Antimony; Coupling constant; Quadrupole; Arsenic; NMR spectra database; Potassium bromide; Density functional theory; Nuclear magnetic resonance spectroscopy; Analytical Chemistry (journal); Chemical shift; Physical chemistry; Computational chemistry; Inorganic chemistry; Spectral line; Organic chemistry; Atomic 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":[0.0003421422,0.0001962724,0.0002028614,0.0002732716,0.0005680426,0.0005024255,0.0003170511,0.0006050654,0.001809553],"category_scores_gemma":[0.0004613936,0.0001737498,0.0001810448,0.0002150142,0.0004862206,0.0005089959,0.0002665795,0.0002725745,0.0003427452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500744,"about_ca_system_score_gemma":0.0003417709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130486,"about_ca_topic_score_gemma":0.00193422,"domain_scores_codex":[0.9998636,0.00004117257,0.000007450722,0.00002848263,0.0000357765,0.00002345497],"domain_scores_gemma":[0.9997919,0.00009561246,0.00001763967,0.00002222398,0.0000526694,0.00001995004],"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":[0.0006285869,0.00004011525,0.000645941,0.00008605494,0.00001391607,0.0001669318,0.0001350117,0.000293498,0.9941375,0.000712465,0.00007290667,0.003067073],"study_design_scores_gemma":[0.00003058402,0.001041897,0.001212395,0.000007968153,0.00003330364,0.0001824103,0.0002623579,0.00182202,0.9915947,0.0002795418,0.003523753,0.000008976282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926496,0.0006270842,0.002170449,0.0001221668,0.00001309611,0.00002769938,0.00006751299,0.00003516555,0.004287186],"genre_scores_gemma":[0.9926529,0.0006091148,0.004618078,0.00002966498,0.00001071732,0.000009515603,0.0001175123,0.00001955315,0.001932914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001809553,"threshold_uncertainty_score":0.006053627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444131738017248,"score_gpt":0.2782010288261361,"score_spread":0.2637597114459637,"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."}}