{"id":"W7131845839","doi":"10.5376/ijmms.2024.14.0037","title":"Study on Individualized Dietary Therapy for Diabetes Based on Traditional Chinese Medicine (TCM) Constitution Identification","year":2024,"lang":"","type":"article","venue":"International Journal of Molecular Medical Science","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Traditional Chinese medicine; Identification (biology); Diabetes mellitus; Alternative medicine; Constitution; Dietary therapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003849943,0.000241345,0.0004597687,0.0004065444,0.0004684252,0.0003081459,0.0001659109,0.0002853558,0.002072324],"category_scores_gemma":[0.0009806486,0.0001058515,0.0004279664,0.0006600844,0.0001646699,0.0003661333,0.000190962,0.0003673472,0.0001013221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948874,"about_ca_system_score_gemma":0.0009110065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797826,"about_ca_topic_score_gemma":0.003135113,"domain_scores_codex":[0.9998149,0.00005266985,0.00002597999,0.00004850819,0.00003329216,0.0000247288],"domain_scores_gemma":[0.9997724,0.00008364044,0.00005068861,0.00001164702,0.00004167054,0.00003999075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0142773,0.009559399,0.6507513,0.002376773,0.001419704,0.0007788148,0.002937332,0.0003834812,0.03071895,0.00150597,0.001429035,0.2838619],"study_design_scores_gemma":[0.001298381,0.007171793,0.9730139,0.0003019007,0.003505125,0.000570355,0.002219639,0.001359027,0.003621852,0.001437314,0.005449278,0.0000514123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952196,0.002024677,0.0007219377,0.000404555,0.00006085233,0.0001105682,0.00008880412,0.000006555651,0.001362337],"genre_scores_gemma":[0.9944745,0.00176544,0.001959981,0.0003483123,0.00004943522,0.00009812268,0.0001327592,0.000004413531,0.001167051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002072324,"threshold_uncertainty_score":0.006932676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0628310109396911,"score_gpt":0.3956711341610087,"score_spread":0.3328401232213176,"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."}}