{"id":"W4391446100","doi":"10.21810/jicw.v6i3.6401","title":"COUNTERINTELLIGENCE AND FIRST LINES OF DEFENSE IN AN AGE OF HYBRID WARFARE","year":2024,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterintelligence; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003916803,0.0003512078,0.0002026472,0.0007933801,0.006140312,0.007788908,0.0006265879,0.003027681,0.01182513],"category_scores_gemma":[0.005981339,0.0002589661,0.0001980671,0.0004471475,0.006591888,0.006236334,0.007607929,0.006366897,0.001072613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005283664,"about_ca_system_score_gemma":0.003475629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006848012,"about_ca_topic_score_gemma":0.01434438,"domain_scores_codex":[0.9968316,0.001280617,0.00009737119,0.0002292801,0.0006092959,0.0009518905],"domain_scores_gemma":[0.9960711,0.001045748,0.0005057098,0.0001573168,0.0006361675,0.001583886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003085319,0.0001293793,0.01088612,0.000168332,0.00001802627,0.001988168,0.06859573,0.0005143679,0.001160192,0.6165682,0.1310929,0.16857],"study_design_scores_gemma":[0.00001685285,0.0001504529,0.006770144,0.0002356251,0.000004736073,0.001171892,0.03823697,0.0002344673,0.0005581458,0.04098748,0.9115958,0.00003746468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1358883,0.01690764,0.00399272,0.3723511,0.007725811,0.00003275135,0.00007658294,0.00006279141,0.4629623],"genre_scores_gemma":[0.8894955,0.004733531,0.001362557,0.01782125,0.001275383,0.00002627243,0.00003261811,0.00002666817,0.08522609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01182513,"threshold_uncertainty_score":0.03955895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096141202108238,"score_gpt":0.3308775131579779,"score_spread":0.2799161011368955,"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."}}