{"id":"W2951421930","doi":"10.1002/chin.200443013","title":"Silver‐109 NMR Spectroscopy of Inorganic Solids.","year":2004,"lang":"en","type":"article","venue":"ChemInform","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Chin; Analytical Chemistry (journal); Nanotechnology; Environmental chemistry; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533797,0.0003281854,0.0003347059,0.0005366878,0.0005208262,0.0005696876,0.0006199855,0.001293561,0.007856543],"category_scores_gemma":[0.0006739737,0.0002745596,0.0002250742,0.0003919736,0.0004478577,0.0007680861,0.0005996561,0.001109695,0.003232743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000353367,"about_ca_system_score_gemma":0.0002692655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008237628,"about_ca_topic_score_gemma":0.001656773,"domain_scores_codex":[0.9996958,0.00005318455,0.00001163832,0.00007952858,0.0001177173,0.00004210744],"domain_scores_gemma":[0.9998522,0.00004494102,0.00002023322,0.00002506254,0.00003760101,0.00001998472],"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":[0.0002475184,0.00002723989,0.0003021216,0.0003037469,0.00001846375,0.0001956083,0.00005978726,0.0002352001,0.964218,0.003195383,0.008517036,0.02267992],"study_design_scores_gemma":[0.00004758749,0.0001918868,0.001909195,0.00009280961,0.00003764229,0.001215275,0.0001414524,0.005035299,0.9393641,0.002671181,0.04926702,0.00002660265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.430303,0.02820973,0.2290928,0.006510478,0.003390121,0.0001634966,0.003515591,0.005631848,0.2931829],"genre_scores_gemma":[0.8672541,0.007514689,0.05185691,0.001172642,0.0002752691,0.00007256288,0.002745376,0.0004220075,0.06868645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007856543,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009101609011445707,"score_gpt":0.2649024983956067,"score_spread":0.255800889384161,"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."}}