{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003880355,0.0006655894,0.0006172939,0.004944642,0.05012289,0.0204971,0.002810121,0.009057964,0.01714514],"category_scores_gemma":[0.01277306,0.0008096675,0.0005678788,0.008900318,0.0201064,0.004167289,0.004634462,0.01102341,0.0008192324],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2342484,"about_ca_system_score_gemma":0.2504146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932227,"about_ca_topic_score_gemma":0.996293,"domain_scores_codex":[0.9917588,0.0006048555,0.0001005089,0.0006818308,0.003626243,0.003227802],"domain_scores_gemma":[0.9887674,0.002665029,0.0006894566,0.0002336149,0.004638371,0.003006149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008935964,0.0001068744,0.01008385,0.0004228301,0.00005527831,0.002200636,0.1260946,0.0003896709,0.001443974,0.3388549,0.4803713,0.03988668],"study_design_scores_gemma":[0.00001662797,0.00001964974,0.01999377,0.0002122888,0.00003087334,0.0001447927,0.06429527,0.0001614731,0.0003153752,0.004180736,0.9104954,0.0001338189],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1124435,0.02622568,0.0004431026,0.4973339,0.003463748,0.00009328032,0.000996982,0.0001884688,0.3588114],"genre_scores_gemma":[0.7809712,0.0145384,0.0004339816,0.08992825,0.001258014,0.00005792702,0.0003812797,0.0001768573,0.1122541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2342484,"threshold_uncertainty_score":0.8881633,"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."}}