{"id":"W4313063128","doi":"10.7202/1084482ar","title":"« Saigner comme un boeuf » : le sang dans les recettes de médecine populaire québécoises et françaises. Une analyse comparative","year":2021,"lang":"fr","type":"article","venue":"Culture","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001892271,0.000309108,0.0003371909,0.005209588,0.007058824,0.003585409,0.0006972605,0.0008919822,0.006846708],"category_scores_gemma":[0.004847351,0.0002533665,0.0002413002,0.009033865,0.007369703,0.001844543,0.001452325,0.001063571,0.000331213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02694157,"about_ca_system_score_gemma":0.01514825,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.941503,"about_ca_topic_score_gemma":0.9802081,"domain_scores_codex":[0.9990773,0.0002753213,0.00003468857,0.0001368592,0.0002378761,0.0002380139],"domain_scores_gemma":[0.9968341,0.001614126,0.0004405071,0.0001219164,0.0007409059,0.0002484251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000158401,0.00002302992,0.06346016,0.0007718591,0.0000614505,0.0008008273,0.8013756,0.000193571,0.001501996,0.03793209,0.01027306,0.08344789],"study_design_scores_gemma":[0.00000805362,0.00003350265,0.4494247,0.0007417041,0.00005145244,0.0002937267,0.3201526,0.0001218667,0.0005227224,0.001383504,0.2272201,0.00004604765],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.855998,0.03848819,0.001074771,0.0100848,0.0002762315,0.00007149422,0.002814387,0.00002784866,0.09116418],"genre_scores_gemma":[0.9665645,0.008095942,0.0004989428,0.0006854219,0.0000531994,0.00004414753,0.0006188008,0.00002259595,0.02341646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05849701,"threshold_uncertainty_score":0.1954757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05921621244287911,"score_gpt":0.2794774521734783,"score_spread":0.2202612397305992,"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."}}