{"id":"W2139965327","doi":"10.1080/15614260500121096","title":"Terrorism Old and New: Counterterrorism in Canada","year":2005,"lang":"en","type":"article","venue":"Police Practice and Research","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Typology; Scope (computer science); Political science; Criminology; Law; Sociology; Computer science","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":[0.001124299,0.000379022,0.0005148913,0.00616589,0.006403181,0.003305909,0.001160344,0.0004433786,0.003186622],"category_scores_gemma":[0.004305806,0.0003306949,0.0004265021,0.01587839,0.001650949,0.0008998094,0.001716655,0.0008997842,0.0002285239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08022245,"about_ca_system_score_gemma":0.08695294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984264,"about_ca_topic_score_gemma":0.9990594,"domain_scores_codex":[0.9974606,0.0001604081,0.0001288527,0.0001969121,0.001313596,0.0007395871],"domain_scores_gemma":[0.9949567,0.0005090896,0.0008017908,0.0002423295,0.002661498,0.0008286217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007581431,0.0001046392,0.6473929,0.001110229,0.0002406639,0.001703636,0.04805264,0.004464621,0.001167614,0.02922249,0.06603751,0.1997449],"study_design_scores_gemma":[0.0000195376,0.00003444372,0.815568,0.0002707982,0.00005747339,0.0003623075,0.03869352,0.00217134,0.0006170516,0.001082709,0.1410062,0.0001165546],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992808,0.01015237,0.001568805,0.004813184,0.0001771523,0.0002318465,0.02618145,0.0001071726,0.05748727],"genre_scores_gemma":[0.9795353,0.005267539,0.0008749985,0.0002695568,0.00001993709,0.00003743206,0.005922445,0.0000336897,0.008039168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08022245,"threshold_uncertainty_score":0.5820574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07578861884139114,"score_gpt":0.4272376241068964,"score_spread":0.3514490052655053,"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."}}