{"id":"W1812664933","doi":"10.3968/j.ccc.1923670020120806.1885","title":"The Coverage of Chinese Medicine in Major World English Publications","year":2012,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Linguistics and Language Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasure; China; Traditional Chinese medicine; Social media; Chinese people; Chinese society; Alternative medicine; Traditional medicine; Medicine; Political science; History; Law","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":[0.001578008,0.0004731948,0.0003433259,0.0361664,0.001239635,0.002133292,0.0003066872,0.0003272353,0.00817082],"category_scores_gemma":[0.0113585,0.0001840911,0.0002620486,0.04495998,0.001127612,0.00213976,0.001529417,0.0003843555,0.001188109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496918,"about_ca_system_score_gemma":0.001670498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007943816,"about_ca_topic_score_gemma":0.009414542,"domain_scores_codex":[0.9978247,0.0004357753,0.0005417368,0.000242595,0.0008088713,0.0001464793],"domain_scores_gemma":[0.974498,0.01649886,0.004364409,0.0005807876,0.003537481,0.0005205325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007454527,0.0001946787,0.2597111,0.02740678,0.0003547347,0.003675269,0.1682642,0.0004451465,0.04042796,0.01563576,0.09340125,0.3897378],"study_design_scores_gemma":[0.00002322056,0.0001134856,0.6661314,0.002454688,0.0003300702,0.002046436,0.03486748,0.0008079348,0.009859712,0.0007624929,0.2825215,0.00008152401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8205154,0.01685403,0.001401695,0.001936908,0.0005090662,0.0002676562,0.09044323,0.0002372144,0.06783494],"genre_scores_gemma":[0.9231302,0.01835669,0.003096274,0.0003881248,0.0008906598,0.0004809501,0.04059613,0.0001945719,0.01286638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0361664,"threshold_uncertainty_score":0.02733409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268178679312663,"score_gpt":0.3220760896701498,"score_spread":0.2952582217388835,"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."}}