{"id":"W3106794739","doi":"10.7202/1073065ar","title":"Faire l’histoire de la médicalisation en Chine du Sud au début du XXe siècle : l’expérience des sources","year":2020,"lang":"fr","type":"article","venue":"Cahiers d histoire","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Art; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002246739,0.0002759965,0.0002405532,0.001510388,0.01119095,0.00375965,0.0005496958,0.001095619,0.004744043],"category_scores_gemma":[0.002769707,0.0001999323,0.0002180357,0.00453476,0.01151557,0.001548418,0.003628518,0.001868536,0.0001782852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01485951,"about_ca_system_score_gemma":0.01869484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2591691,"about_ca_topic_score_gemma":0.498816,"domain_scores_codex":[0.9987061,0.0006327424,0.00004901812,0.00007805006,0.0002259707,0.0003080943],"domain_scores_gemma":[0.9983986,0.0009808503,0.0002428392,0.00009353984,0.0001197634,0.0001645202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001952902,0.000008236729,0.009236906,0.0001313147,0.000008162193,0.0009694204,0.9291968,0.00006025422,0.000731194,0.04978358,0.001993062,0.007861526],"study_design_scores_gemma":[0.000009596665,0.00003340104,0.04025739,0.0003162602,0.00001510168,0.0004918445,0.7185705,0.00007480583,0.0005916207,0.004236698,0.2353749,0.0000279931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611067,0.006924288,0.001288236,0.03210072,0.0003694944,0.00008245544,0.0002304445,0.0000220797,0.09787565],"genre_scores_gemma":[0.9782463,0.002779548,0.0003165428,0.0008584607,0.0000543735,0.00004564529,0.00004485833,0.00001540384,0.01763883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2591691,"threshold_uncertainty_score":0.5153211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008194260736139792,"score_gpt":0.1871156426515322,"score_spread":0.1789213819153924,"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."}}