{"id":"W1562869308","doi":"","title":"Canadian Blasphemy Law in Context: Press, Legislative, and Public Reactions","year":2009,"lang":"en","type":"article","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blasphemy; Repeal; Legislature; Political science; Context (archaeology); Law; Newspaper; House of Commons; Parliament; Politics; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036995,0.00006817413,0.00006945084,0.0000909649,0.0001183871,0.0002198724,0.000166579,0.00004754503,0.00002130251],"category_scores_gemma":[0.000019059,0.00006457382,0.00001399653,0.0002203372,0.00002357202,0.0007234341,0.00001759912,0.0001078898,0.00001990412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007244856,"about_ca_system_score_gemma":0.00008910598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3781971,"about_ca_topic_score_gemma":0.8066425,"domain_scores_codex":[0.9993277,0.00002770816,0.00010726,0.0002076138,0.00007928017,0.0002504916],"domain_scores_gemma":[0.9995443,0.00001885536,0.00002041352,0.0001903314,0.00003249521,0.0001935531],"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":[0.000001148093,0.0000235217,0.0002411074,0.000001210372,0.000003458529,0.00001515641,0.0003237932,0.000005205969,0.0002740047,0.914664,0.001108749,0.08333861],"study_design_scores_gemma":[0.0005419728,0.0001563923,0.007666043,0.00001804002,0.000002192428,0.00006884117,0.0001520957,0.01118364,0.003150127,0.01925177,0.9574895,0.0003193964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0269732,0.0002336983,0.02410772,0.0180785,0.0002568831,0.0002937113,0.00000212932,0.0002775289,0.9297766],"genre_scores_gemma":[0.9939381,0.00001610628,0.002324266,0.001173111,0.00001787395,0.000004297804,7.396668e-7,0.000002163894,0.002523374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9669648,"threshold_uncertainty_score":0.6259435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476547246225239,"score_gpt":0.2203412224827105,"score_spread":0.2055757500204581,"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."}}