{"id":"W7164905213","doi":"10.1080/17153379.2025.12558711","title":"Ginkgo Village: Trauma and Transformation in Rural China","year":2025,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Ginkgo biloba and Cashew Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ginkgo; Transformation (genetics); China; Rural area","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":[0.0003689739,0.0002379958,0.000159549,0.0007468563,0.007982155,0.001595244,0.0004464113,0.00069872,0.008519851],"category_scores_gemma":[0.000586124,0.0001569045,0.0001577705,0.001647762,0.003846476,0.0008468005,0.00317824,0.001135361,0.0002803724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003594091,"about_ca_system_score_gemma":0.007423825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05538985,"about_ca_topic_score_gemma":0.1102419,"domain_scores_codex":[0.9996104,0.0001022623,0.00001004631,0.00002146766,0.00002796942,0.0002278662],"domain_scores_gemma":[0.9995633,0.00003220141,0.0000808454,0.00001634355,0.00002915471,0.000278126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000354504,0.0005368156,0.4797654,0.0004798607,0.0000682036,0.01435481,0.3378149,0.0003889055,0.003540779,0.06269731,0.01968699,0.08031155],"study_design_scores_gemma":[0.00003665796,0.0003664307,0.426246,0.0002068302,0.00002941482,0.002320956,0.4871602,0.0003285238,0.0004236379,0.006837697,0.0760026,0.00004124502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769968,0.001155257,0.0001359481,0.009354321,0.0000626327,0.00002804451,0.00006977022,0.0000121138,0.01218513],"genre_scores_gemma":[0.9925107,0.00098716,0.00005371279,0.0003627206,0.00003292613,0.00001268113,0.00003433343,0.00000380232,0.006002112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05538985,"threshold_uncertainty_score":0.1101349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005419175334745904,"score_gpt":0.2433562126135105,"score_spread":0.2379370372787646,"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."}}