{"id":"W2732497722","doi":"10.1155/2017/7501015","title":"Identifying Chinese Herbal Medicine Network for Endometriosis: Implications from a Population‐Based Database in Taiwan","year":2017,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Endometriosis Research and Treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Health Research Institutes; Ministry of Science and Technology, Taiwan","keywords":"Endometriosis; Traditional medicine; Medicine; Traditional Chinese medicine; Population; Chinese population; Alternative medicine; Environmental health; Internal medicine; Biology; Pathology","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001472211,0.0004159387,0.0009548985,0.0007461248,0.0007856785,0.00006620028,0.0004941187,0.00004561269,0.0009051426],"category_scores_gemma":[0.01042451,0.0002908705,0.0001250436,0.0006066176,0.0004200275,0.000539222,0.0001594853,0.0003062822,0.000004777077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411547,"about_ca_system_score_gemma":0.0001333564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573667,"about_ca_topic_score_gemma":0.003215502,"domain_scores_codex":[0.9966828,0.0002240505,0.0008731517,0.0008033706,0.0008054813,0.0006110997],"domain_scores_gemma":[0.9910283,0.006715811,0.0005069516,0.001028992,0.000245777,0.0004741548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00150248,0.0002820739,0.9771864,0.0002302083,0.0003070036,0.0001051429,0.0001886905,0.0000616792,0.001778704,0.0005462016,0.001515414,0.01629601],"study_design_scores_gemma":[0.02681975,0.002253995,0.9523996,0.006649591,0.0003608995,0.000008497436,0.0002492039,0.004508947,0.0003825731,0.003948595,0.002132232,0.0002861902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7933517,0.01757269,0.02628383,0.1555924,0.0007288058,0.005196359,0.0009621882,0.00009075559,0.0002212384],"genre_scores_gemma":[0.9832417,0.001044503,0.008389377,0.002496535,0.001645538,0.0006812274,0.002425944,0.00003417847,0.0000409756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.18989,"threshold_uncertainty_score":0.9999543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1982018091459855,"score_gpt":0.4496989024158753,"score_spread":0.2514970932698898,"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."}}