{"id":"W2133965079","doi":"10.1039/b108295g","title":"The first chromium-53 solid-state nuclear magnetic resonance spectra of diamagnetic chromium(0) and chromium(VI) compounds","year":2001,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Killam Trusts","keywords":"Chromium; Chromium Compounds; Chromate conversion coating; Chemistry; Diamagnetism; NMR spectra database; Solid-state nuclear magnetic resonance; Potassium chromate; Quadrupole; Electric field gradient; Spectral line; Nuclear magnetic resonance; Analytical Chemistry (journal); Physical chemistry; Inorganic chemistry; Magnetic field; Organic chemistry; Atomic physics; 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":[0.0001978078,0.000262786,0.0002610452,0.0004514998,0.0004886709,0.0004441531,0.0003966246,0.0006416719,0.003101959],"category_scores_gemma":[0.0005343581,0.0001987803,0.0001658854,0.0003296432,0.0005566324,0.0003817249,0.0003356751,0.0008396744,0.0005251039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132675,"about_ca_system_score_gemma":0.0003259634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001185016,"about_ca_topic_score_gemma":0.002354647,"domain_scores_codex":[0.9998198,0.00002483283,0.000007078915,0.00003807143,0.0000730133,0.00003722126],"domain_scores_gemma":[0.9996804,0.00008959195,0.00003818156,0.00003613496,0.0001092661,0.00004648346],"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":[0.0002365334,0.00001970481,0.0006406289,0.000230122,0.00001361928,0.0002152645,0.0001448385,0.0001512837,0.9826961,0.002241806,0.001270982,0.01213914],"study_design_scores_gemma":[0.00001450123,0.0002718663,0.00490111,0.00003209886,0.00002593544,0.0005158894,0.0001054991,0.0007801667,0.9598994,0.0005523228,0.03286739,0.00003365818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044088,0.00686112,0.04969526,0.0007491353,0.0004765778,0.0001242827,0.002677479,0.0007326432,0.03427481],"genre_scores_gemma":[0.959362,0.001879397,0.02127526,0.0002516904,0.00006673936,0.00004054994,0.001842616,0.0001067621,0.01517494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003101959,"threshold_uncertainty_score":0.01037705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007470546178679806,"score_gpt":0.2431791003727441,"score_spread":0.2357085541940643,"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."}}