{"id":"W591786911","doi":"","title":"La protection des données de santé des athlètes dans le cadre de la lutte contre le dopage","year":2006,"lang":"fr","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Doping in Sports","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; 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":[0.01462367,0.0005160489,0.0006190974,0.002207014,0.002785729,0.006094006,0.001071847,0.001792612,0.01100876],"category_scores_gemma":[0.05732432,0.0004826602,0.001240431,0.002580581,0.00383441,0.003706503,0.003905962,0.001764642,0.001242651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004262485,"about_ca_system_score_gemma":0.01169844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03602343,"about_ca_topic_score_gemma":0.03222635,"domain_scores_codex":[0.9754511,0.01354389,0.001821516,0.002249215,0.005851665,0.00108252],"domain_scores_gemma":[0.9301138,0.0489341,0.007722496,0.003947253,0.008042499,0.001239904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001202577,0.0002508371,0.193529,0.007843991,0.000759526,0.001634487,0.2384976,0.001481501,0.007816369,0.05230643,0.01303318,0.4816445],"study_design_scores_gemma":[0.0001010829,0.0009877161,0.372109,0.01289437,0.001216701,0.003941343,0.1426944,0.002433051,0.008061391,0.02576395,0.4295174,0.0002795908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7044932,0.03761777,0.04913741,0.04500168,0.0009324418,0.0007657014,0.004131977,0.0004957212,0.1574242],"genre_scores_gemma":[0.9437677,0.01239263,0.01967553,0.002902795,0.0002194076,0.0003843111,0.00145828,0.0001231492,0.01907628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03602343,"threshold_uncertainty_score":0.07733828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139090319816345,"score_gpt":0.2351087195874939,"score_spread":0.2211996876058594,"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."}}