{"id":"W4378906841","doi":"10.21810/jicw.v6i1.5409","title":"Canadian Armed Forces Assistance to Law Enforcement and Civil Authorities","year":2023,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Military and Defense Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Armed Forces","keywords":"Statutory law; Law; Enforcement; Law enforcement; Navy; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.001483578,0.0005361733,0.0002509728,0.002876106,0.01074342,0.003379295,0.00115373,0.001299262,0.127267],"category_scores_gemma":[0.008057988,0.0003654031,0.0003351884,0.002583947,0.0009999174,0.0007606782,0.00161442,0.001576614,0.008348224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04340641,"about_ca_system_score_gemma":0.1424287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855965,"about_ca_topic_score_gemma":0.9949175,"domain_scores_codex":[0.9973511,0.0001787673,0.00007265797,0.0001355839,0.001497452,0.0007644902],"domain_scores_gemma":[0.9939573,0.0002340253,0.0001227453,0.00008634546,0.004290483,0.001309131],"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":[0.00002777685,0.0000219257,0.003531264,0.0001309,0.000007362042,0.000142549,0.001401237,0.0001104318,0.0001405175,0.01569485,0.9064908,0.07230029],"study_design_scores_gemma":[0.000006162752,0.000008144739,0.008796398,0.0000841777,0.00000455296,0.00003614814,0.001304545,0.00006759535,0.00005982964,0.0003564316,0.9892637,0.00001236186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01366639,0.009419577,0.0004742257,0.0623026,0.0050031,0.0002992454,0.003959454,0.0001767291,0.9046987],"genre_scores_gemma":[0.1254956,0.009652264,0.001251308,0.004585436,0.0004881283,0.00009602905,0.00185693,0.00005880144,0.8565154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.127267,"threshold_uncertainty_score":0.4257507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777877220594038,"score_gpt":0.3266697788848536,"score_spread":0.2788910066789132,"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."}}