{"id":"W2136888786","doi":"10.1002/chin.200416299","title":"Chemical Exchange in NMR","year":2004,"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":"McMaster University","funders":"","keywords":"Chemistry; Computational 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":[],"consensus_categories":[],"category_scores_codex":[0.00002169889,0.00008876756,0.000089162,0.00001944029,0.00001838707,0.000007234938,0.0001531946,0.00009824003,0.0005539404],"category_scores_gemma":[0.00001604305,0.00008941947,0.00003594988,0.0001086951,0.00003695676,0.00007767019,0.00005305139,0.0001415683,0.00005191534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533214,"about_ca_system_score_gemma":0.00001927336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000150867,"about_ca_topic_score_gemma":0.000003554152,"domain_scores_codex":[0.9994649,1.605822e-8,0.000147153,0.0001278347,0.00007508329,0.0001850695],"domain_scores_gemma":[0.9996571,0.000009310751,0.00003530345,0.0002313069,0.00001361964,0.00005338835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002403746,0.0002472521,0.0001313164,0.0002788369,0.000008759843,0.00001583468,0.0008737279,0.00001539415,0.4630987,0.01504747,0.004243395,0.5160152],"study_design_scores_gemma":[0.000327034,0.000001582642,0.000009464535,0.00003236122,0.000001597475,0.000007651895,0.00005655821,0.000005900389,0.899021,0.004103519,0.09631762,0.0001156882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06085823,0.00008413379,0.00006283794,0.0002437402,0.00000347813,0.00005860095,0.000008623476,0.000213962,0.9384664],"genre_scores_gemma":[0.992148,0.00006868139,0.002291807,0.0001641179,0.0001067601,0.0001866272,0.00005848613,0.00001770667,0.004957804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9335086,"threshold_uncertainty_score":0.6065258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433746382690299,"score_gpt":0.2732560233532461,"score_spread":0.2589185595263431,"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."}}