{"id":"W2794964773","doi":"","title":"La censure et la subversion de l'institution littéraire","year":2007,"lang":"fr","type":"article","venue":"Canadian Children's Literature / Littérature canadienne pour la jeunesse","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Subversion; Publishing; Media studies; Institution; Political science; Art; Law; Advertising; Sociology; History; Politics; Business","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":[0.002859354,0.0003764733,0.0005150794,0.002878132,0.01637886,0.01224359,0.001204063,0.001965049,0.01860439],"category_scores_gemma":[0.006926761,0.000329918,0.0003792059,0.004179149,0.02031398,0.003682826,0.003223261,0.003686735,0.001370346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06777652,"about_ca_system_score_gemma":0.05867576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9308409,"about_ca_topic_score_gemma":0.9494179,"domain_scores_codex":[0.9950225,0.00112723,0.0001265972,0.0003812205,0.001947205,0.001395294],"domain_scores_gemma":[0.9917779,0.002180796,0.001071187,0.0009914056,0.002336143,0.001642642],"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":[0.00003561712,0.00001942632,0.006562869,0.0001096629,0.00001727569,0.001157662,0.05440836,0.0002309963,0.0002973841,0.8523433,0.03415633,0.05066117],"study_design_scores_gemma":[0.000010072,0.00001545444,0.01836612,0.0002848115,0.00001577869,0.0007821082,0.0181942,0.000183217,0.0002975374,0.01363577,0.9481705,0.00004439511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1769475,0.04577623,0.003505635,0.05709723,0.00124416,0.00004852284,0.0006114084,0.0002502757,0.714519],"genre_scores_gemma":[0.8386805,0.007706454,0.0009536809,0.001786228,0.0002388565,0.00002338818,0.0001178549,0.0000822942,0.1504108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06915909,"threshold_uncertainty_score":0.4917554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066905517896744,"score_gpt":0.2379499589256309,"score_spread":0.2172809037466634,"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."}}