{"id":"W7164889836","doi":"10.1080/17153379.2007.12554695","title":"Qigong Fever: Body, Science, and Utopia in China.","year":2007,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760309,0.00008622353,0.0001391878,0.0001294965,0.00006484546,0.00002066544,0.0000528965,0.00006537139,0.000033571],"category_scores_gemma":[0.00005283169,0.00006528432,0.00002196144,0.0004516492,0.0002662087,0.00007651079,0.00003816974,0.0001559845,0.00001859086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004568961,"about_ca_system_score_gemma":0.00005765215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005126148,"about_ca_topic_score_gemma":0.00001177138,"domain_scores_codex":[0.9991589,0.00000575724,0.0001162016,0.000211137,0.0002308934,0.000277155],"domain_scores_gemma":[0.9996322,0.00002601638,0.00002347281,0.0001577564,0.00003556818,0.000124935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004091086,0.0006660743,0.4240378,0.0004978494,0.00004749821,0.0007416799,0.005041373,0.000001017228,0.2697684,0.0765861,0.002309572,0.2198934],"study_design_scores_gemma":[0.001384188,0.0002935338,0.9556963,0.0001168011,0.00002426152,0.00007980203,0.006943085,0.0004974072,0.02811805,0.0004045582,0.00618142,0.0002605658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5631417,0.00006184414,0.00006129102,0.0002956549,0.000175776,0.000159957,7.279306e-7,0.00003021643,0.4360728],"genre_scores_gemma":[0.9977169,0.00002983443,0.0003618721,0.0000323876,0.000113728,0.000001526812,0.000001576931,0.000005995726,0.001736149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5316585,"threshold_uncertainty_score":0.2662217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005618397333070742,"score_gpt":0.2396386159199527,"score_spread":0.234020218586882,"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."}}