{"id":"W3154169144","doi":"10.1155/2021/9976770","title":"A Series of N-of-1 Trials for Traditional Chinese Medicine Using a Bayesian Method: Study Rationale and Protocol","year":2021,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Administration of Traditional Chinese Medicine of the People's Republic of China; National Natural Science Foundation of China; McMaster University","keywords":"Protocol (science); Bayesian probability; Series (stratigraphy); Computer science; Traditional Chinese medicine; Medicine; Artificial intelligence; Alternative medicine; Biology; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003244938,0.0002308471,0.001226677,0.00026058,0.0001223765,0.000007091168,0.00009534989,0.00002013386,0.001065982],"category_scores_gemma":[0.006663028,0.0001505117,0.00007741804,0.0003498509,0.0006351018,0.0002692816,0.00005666506,0.0001100407,5.273865e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005167597,"about_ca_system_score_gemma":0.0003038409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003566343,"about_ca_topic_score_gemma":0.0001083171,"domain_scores_codex":[0.9966696,0.0007449573,0.001137197,0.0004154196,0.0008405155,0.0001923058],"domain_scores_gemma":[0.9911786,0.007311902,0.000493962,0.0002059155,0.0006351777,0.0001744291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03263535,0.002539408,0.2184644,0.009597308,0.002308701,0.0002840215,0.007247216,0.0003247373,0.6953125,0.006936303,0.002073025,0.02227701],"study_design_scores_gemma":[0.2044627,0.1222191,0.2638721,0.04831468,0.004142957,0.0009203774,0.03454511,0.08338106,0.1573097,0.07050902,0.008904513,0.001418664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5001724,0.004424503,0.2955533,0.04162572,0.000424178,0.1566592,0.0009958493,0.00004063823,0.0001041707],"genre_scores_gemma":[0.8144342,0.00009505275,0.1612222,0.0008357179,0.001651451,0.02127337,0.0003528707,0.00003762237,0.00009751615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5380028,"threshold_uncertainty_score":0.9998472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4844740399141363,"score_gpt":0.5240436717872194,"score_spread":0.03956963187308316,"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."}}