{"id":"W2489085195","doi":"","title":"Risk Management: The Effects of Militarization and Surveillance within the Canadian Context","year":2014,"lang":"en","type":"article","venue":"XVIII ISA World Congress of Sociology (July 13-19, 2014)","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Militarization; Context (archaeology); Risk management; Business; Political science; Computer security; Geography; Computer science; Politics; Law; Finance","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":[0.004548583,0.0006803594,0.000615954,0.0034775,0.02220511,0.0130499,0.003809677,0.002217846,0.01080937],"category_scores_gemma":[0.02750047,0.0004278239,0.0008810032,0.005695655,0.009742915,0.003065821,0.005269283,0.003992064,0.0003104133],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2305185,"about_ca_system_score_gemma":0.2787589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983234,"about_ca_topic_score_gemma":0.9991049,"domain_scores_codex":[0.9910626,0.002207686,0.0001681509,0.0005849667,0.002775796,0.003200788],"domain_scores_gemma":[0.9809374,0.003517201,0.001921314,0.0005941438,0.00820324,0.004826722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001450816,0.001246577,0.3532195,0.000433782,0.0004381834,0.001233837,0.1238561,0.008176455,0.001381676,0.3106237,0.06195352,0.1359858],"study_design_scores_gemma":[0.0001303418,0.000204001,0.5620756,0.0008480509,0.0004069806,0.0002031683,0.2703698,0.007068011,0.0008526893,0.02202976,0.1353488,0.0004627219],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7255837,0.004050932,0.001301473,0.04480401,0.0002929046,0.000215592,0.0008735193,0.00006008877,0.2228179],"genre_scores_gemma":[0.9886565,0.001387382,0.0005006834,0.0006806366,0.00003264692,0.0000234242,0.0001108286,0.00001840536,0.00858946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2305185,"threshold_uncertainty_score":0.8924894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007566308752409361,"score_gpt":0.2626324416642444,"score_spread":0.255066132911835,"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."}}