{"id":"W4248041159","doi":"10.1002/chin.200513298","title":"Characterization of NMR Tensors via Experiment and Theory","year":2005,"lang":"en","type":"article","venue":"ChemInform","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Chemistry; Characterization (materials science); Computational chemistry; Nanotechnology","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":[0.001294945,0.0008162541,0.0003296995,0.0008983343,0.0006431141,0.0006985349,0.0007054997,0.0005305894,0.007185115],"category_scores_gemma":[0.002665224,0.0002718958,0.0003432076,0.000600601,0.001139367,0.001641031,0.0006126711,0.0008796573,0.001296508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003859317,"about_ca_system_score_gemma":0.0006999356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007516519,"about_ca_topic_score_gemma":0.0009437455,"domain_scores_codex":[0.9994373,0.0001573765,0.00002029972,0.0001260326,0.000213892,0.00004514764],"domain_scores_gemma":[0.998693,0.0004376704,0.0001345847,0.0004056088,0.0002655699,0.00006350403],"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":[0.0005298867,0.0001819308,0.00299091,0.0005928282,0.00005167281,0.0002061855,0.0002384357,0.02946491,0.8342534,0.06941582,0.004046249,0.05802774],"study_design_scores_gemma":[0.0001068672,0.0004193273,0.007027117,0.00009414258,0.00008545416,0.0004954132,0.0002029514,0.3525014,0.5831683,0.03966421,0.0160608,0.0001741515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1796303,0.0008104803,0.7842185,0.0007875721,0.0002028981,0.0001747014,0.002532207,0.002050543,0.02959282],"genre_scores_gemma":[0.8677776,0.0006221238,0.1274207,0.0001484548,0.00009079705,0.0001354142,0.001267529,0.0002126072,0.002324786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007185115,"threshold_uncertainty_score":0.02403659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008353842037454085,"score_gpt":0.2553624712179784,"score_spread":0.2470086291805243,"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."}}