{"id":"W7001859055","doi":"","title":"Le roller derby à Québec : un espace de subversion des hétéronormes de genre","year":2022,"lang":"fr","type":"other","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subversion; Poison control","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":[0.00570214,0.0004624601,0.0005275853,0.002131073,0.01537321,0.007338417,0.001685265,0.0014154,0.01104522],"category_scores_gemma":[0.008592006,0.0003607895,0.0002682073,0.003909441,0.0196807,0.004605378,0.003816432,0.002686875,0.0004868321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05918013,"about_ca_system_score_gemma":0.05944531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623553,"about_ca_topic_score_gemma":0.982746,"domain_scores_codex":[0.9958306,0.001912653,0.00009891744,0.0006569786,0.0009591971,0.0005417472],"domain_scores_gemma":[0.9932871,0.002187486,0.000698848,0.0006212983,0.002356889,0.0008482865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008806249,0.00003776019,0.03117965,0.000291641,0.00002875412,0.0004456852,0.7707327,0.0001365754,0.0009363459,0.1345492,0.01369213,0.04788138],"study_design_scores_gemma":[0.00001731799,0.00004255757,0.06433599,0.001175729,0.00004995438,0.0001694812,0.7017823,0.0004877051,0.0006351866,0.01220056,0.2190212,0.00008205901],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6365333,0.009477635,0.01167555,0.03891931,0.0005695131,0.0002162627,0.0007830443,0.00006860787,0.3017568],"genre_scores_gemma":[0.9507121,0.002260809,0.002399274,0.002803346,0.00003634159,0.0001156521,0.0001591359,0.00005160016,0.04146174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05918013,"threshold_uncertainty_score":0.4293839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178723603120989,"score_gpt":0.2025390749332424,"score_spread":0.1846667146211435,"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."}}