{"id":"W2325116134","doi":"10.1021/ic8022198","title":"A<sup>13</sup>C and<sup>15</sup>N Solid-State NMR Study of Structural Disorder and Aurophilic Bonding in Au<sup>I</sup>and Au<sup>III</sup>Cyanide Complexes","year":2009,"lang":"en","type":"article","venue":"Inorganic Chemistry","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Chemical shift; Crystallography; NMR spectra database; Cyanide; Solid-state nuclear magnetic resonance; Carbon-13 NMR satellite; Molecular geometry; Nuclear magnetic resonance spectroscopy; Chemical bond; Analytical Chemistry (journal); Spectral line; Molecule; Stereochemistry; Physical chemistry; Nuclear magnetic resonance; Inorganic chemistry; Fluorine-19 NMR; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002800545,0.001113826,0.00133474,0.0001632822,0.0006139409,0.0001833302,0.0008542896,0.0005380892,0.0003783378],"category_scores_gemma":[0.0001999312,0.001165867,0.0001714555,0.0007049541,0.0005922986,0.0004496104,0.0007035659,0.001253144,0.00000786452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528189,"about_ca_system_score_gemma":0.0002092045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008287702,"about_ca_topic_score_gemma":0.0001055728,"domain_scores_codex":[0.9947758,0.00006237836,0.00153976,0.001693688,0.0006381492,0.001290241],"domain_scores_gemma":[0.9971079,0.0003217247,0.0005067174,0.001409922,0.0001762468,0.0004775544],"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":[0.0005400446,0.002084173,0.1605597,0.002387184,0.0005416336,0.000219469,0.03572242,0.02399915,0.7599052,0.000601685,0.0008361725,0.0126031],"study_design_scores_gemma":[0.02924918,0.001222727,0.04232889,0.002088262,0.001295188,0.002300626,0.0896579,0.1920174,0.5966303,0.02458692,0.009088052,0.009534514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961537,0.0007972206,0.0001058879,0.0004209594,0.000006361661,0.0007069255,0.0002794999,0.0003882124,0.001141236],"genre_scores_gemma":[0.9970582,0.0002569209,0.000595641,0.0001397893,0.0003202769,0.0001116095,0.0001962254,0.0001619887,0.001159409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680183,"threshold_uncertainty_score":0.9990791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009342878663480722,"score_gpt":0.2677467689409651,"score_spread":0.2584038902774844,"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."}}