{"id":"W4253445704","doi":"10.1017/cbo9781107239081.026","title":"Censorship","year":2015,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Censorship; State (computer science); Political science; Law; Art; Media studies; History; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00548953,0.0005742969,0.0006444802,0.001421184,0.008142381,0.01126931,0.001486281,0.005112514,0.01381066],"category_scores_gemma":[0.01161177,0.000254515,0.0003759287,0.001381442,0.03727227,0.00830293,0.00511492,0.006674916,0.004147978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005326626,"about_ca_system_score_gemma":0.003968248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003694404,"about_ca_topic_score_gemma":0.003896075,"domain_scores_codex":[0.9926471,0.003415717,0.0002636919,0.001201662,0.001842874,0.0006290745],"domain_scores_gemma":[0.9932252,0.003624105,0.0005566404,0.001335277,0.0008585679,0.0004003228],"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":[0.000009366218,0.000006061211,0.0001361249,0.0000704555,0.000004806024,0.00008584272,0.008606758,0.00003266542,0.00008871958,0.9398616,0.03688263,0.01421495],"study_design_scores_gemma":[0.000003609482,0.00001287574,0.0002062616,0.0003567791,0.000004729197,0.0001910156,0.002143884,0.00003398881,0.0001772685,0.09722076,0.8996383,0.00001058359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004880423,0.04177093,0.00308131,0.03447431,0.003273834,0.00002443666,0.00006696414,0.00006468111,0.9123632],"genre_scores_gemma":[0.4366418,0.02356094,0.001183091,0.03082727,0.006210966,0.00009394051,0.00009178345,0.0001992104,0.501191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01381066,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04467248088733722,"score_gpt":0.2359061398827277,"score_spread":0.1912336589953904,"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."}}