{"id":"W4412201296","doi":"10.1097/hm9.0000000000000163","title":"Traditional Chinese Medicine + artificial intelligence: Wuzhen consensus","year":2025,"lang":"en","type":"article","venue":"Acupuncture and Herbal Medicine","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Artificial intelligence; Computer 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":[0.005079268,0.0006886444,0.001002837,0.00222931,0.002388118,0.004066758,0.001517428,0.004466228,0.005232625],"category_scores_gemma":[0.005189796,0.0002512716,0.0007075294,0.002105445,0.01056389,0.006066118,0.003982393,0.007086279,0.001491524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004723003,"about_ca_system_score_gemma":0.009031177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004957223,"about_ca_topic_score_gemma":0.004549335,"domain_scores_codex":[0.9970978,0.001269889,0.0001815445,0.0005502139,0.0007422786,0.0001582729],"domain_scores_gemma":[0.9979752,0.001248856,0.00008175648,0.0001422792,0.0003436881,0.000208264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000407106,0.00003418414,0.0004463225,0.001070669,0.00007388397,0.0003550907,0.003395013,0.0006131479,0.0001944253,0.6742859,0.1514035,0.1680871],"study_design_scores_gemma":[0.00001651944,0.00002037011,0.0006825731,0.001686301,0.00002075123,0.000353519,0.0009911133,0.0005578261,0.0001279137,0.4488184,0.546694,0.0000307226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00249988,0.4489307,0.01234827,0.4692781,0.01545728,0.00005090177,0.0001065064,0.00005033389,0.05127804],"genre_scores_gemma":[0.1640301,0.5569522,0.01745893,0.1916872,0.02876022,0.0003344863,0.0003489889,0.0000875517,0.04034021],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005232625,"threshold_uncertainty_score":0.0342679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050002395241077,"score_gpt":0.3332133583300038,"score_spread":0.282713334377593,"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."}}