{"id":"W2562110508","doi":"10.7202/1037784ar","title":"Dopage et mondialisation financière du sport : ce que nous apprend l’analyse économique !","year":2016,"lang":"fr","type":"article","venue":"Drogues santé et société","topic":"Doping in Sports","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002725963,0.000506635,0.000755171,0.0001459835,0.0004627304,0.0001971489,0.0006322303,0.0006419237,0.002677013],"category_scores_gemma":[0.0004580746,0.0004655328,0.0004767973,0.0005050008,0.001041993,0.001450439,0.0001873311,0.0003828334,0.0008431778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009748818,"about_ca_system_score_gemma":0.00109257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796379,"about_ca_topic_score_gemma":0.008229913,"domain_scores_codex":[0.9962591,0.0005391933,0.0008521862,0.0008907495,0.0004790168,0.000979787],"domain_scores_gemma":[0.997489,0.0006324531,0.0007112874,0.0006350727,0.0002040513,0.0003281017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008426779,0.0006954977,0.1059044,0.0001495681,0.0003128846,0.0003429514,0.07285194,0.0002114642,0.0002886851,0.5657451,0.02560021,0.2278131],"study_design_scores_gemma":[0.00167988,0.000212871,0.05269012,0.0008228859,0.000394027,0.00004737915,0.02911515,0.0002217231,0.0008509857,0.03489813,0.877289,0.001777872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7520419,0.002083786,0.001217809,0.02098379,0.005688372,0.0007532265,0.0002471298,0.0003655066,0.2166185],"genre_scores_gemma":[0.9627178,0.007248014,0.0007127233,0.001676023,0.002122454,0.0000840232,0.0001079301,0.00008430019,0.02524672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8516887,"threshold_uncertainty_score":0.9999348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316474514287524,"score_gpt":0.3224234567608033,"score_spread":0.289258711617928,"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."}}