{"id":"W1519129275","doi":"","title":"Secret Service: Political Policing in Canada from the Fenians to Fortress America","year":2014,"lang":"en","type":"article","venue":"British Journal of Canadian Studies","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fortress (chess); Politics; Service (business); History; Political science; Genealogy; Law; Business; Ancient 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":[0.001160589,0.0003360707,0.0005193348,0.001959917,0.02827505,0.006101062,0.002634181,0.002630306,0.01047018],"category_scores_gemma":[0.006026974,0.0003932566,0.0003754105,0.00496796,0.005405775,0.001988851,0.003931771,0.004907799,0.0004999166],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.142901,"about_ca_system_score_gemma":0.2475094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998322,"about_ca_topic_score_gemma":0.9995973,"domain_scores_codex":[0.9951949,0.0002629185,0.00005363371,0.000150761,0.0007003054,0.003637545],"domain_scores_gemma":[0.9934838,0.000454287,0.0006022589,0.00008225985,0.001799367,0.003578077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006466925,0.0003134316,0.3939039,0.0004208161,0.0001009866,0.002739448,0.3374822,0.0008605017,0.000687833,0.07350153,0.09117305,0.09816974],"study_design_scores_gemma":[0.00002940977,0.00006940321,0.3819287,0.0003987482,0.00004742178,0.0002971624,0.5119553,0.0003870265,0.0003104005,0.001713367,0.1027799,0.00008306779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245439,0.003243901,0.0001655206,0.03063376,0.0003015715,0.00006025514,0.0007575335,0.00001880612,0.04027486],"genre_scores_gemma":[0.9797907,0.001093733,0.00008395071,0.002037813,0.00003306653,0.00001331484,0.0002186553,0.00001633794,0.01671237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.142901,"threshold_uncertainty_score":0.9941133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490547036495888,"score_gpt":0.2746501859654864,"score_spread":0.2497447156005275,"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."}}