{"id":"W3125966627","doi":"10.29173/alr280","title":"Criminalizing Terrorist Babble: Canada&apos;s Dubious New Terrorist Speech Crime","year":2015,"lang":"en","type":"article","venue":"TSpace","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Terrorism; Radicalization; Charter; Law; Criminal offence; Commission; Government (linguistics); Political science; Criminology; The Internet; Criminal law; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003051361,0.0002627851,0.0002422094,0.0001024337,0.0001881563,0.0002698566,0.00088618,0.00009606175,0.00005097974],"category_scores_gemma":[0.0001188021,0.0002608739,0.00005865945,0.0004675846,0.00003458833,0.0003206237,0.0001725494,0.0002615838,0.0002152127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371287,"about_ca_system_score_gemma":0.001595354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7075991,"about_ca_topic_score_gemma":0.2421808,"domain_scores_codex":[0.9978769,0.00007448434,0.000251703,0.0005427656,0.0006496421,0.0006045236],"domain_scores_gemma":[0.9982404,0.00003069045,0.0001221744,0.0008107821,0.0001417725,0.0006542505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006867433,0.0001087629,0.0004872733,0.00005403703,0.00006830831,0.001282573,0.01534917,0.0001429771,0.00900754,0.002706555,0.8711284,0.09959567],"study_design_scores_gemma":[0.001525329,0.0004761961,0.001151088,0.00009558148,0.00005502663,0.0009485757,0.004548449,0.005605322,0.1007266,0.001442129,0.882161,0.001264645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4259749,0.002666304,0.3253686,0.02795254,0.01356908,0.001075416,0.000009075173,0.002445193,0.2009389],"genre_scores_gemma":[0.9246749,0.00001095805,0.0316973,0.001236247,0.0007259609,0.000008973885,0.000007477861,0.00004215194,0.041596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4987,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06568959317489126,"score_gpt":0.3260220311982858,"score_spread":0.2603324380233945,"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."}}