{"id":"W7116943376","doi":"10.34660/inf.2025.88.94.016","title":"COMPARATIVE ANALYSIS OF PROFESSIONAL RECRUITMENT SYSTEMS FOR SECURITY STRUCTURES IN GERMANY FRANCE AND CANADA","year":2025,"lang":"","type":"article","venue":"","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Legislature; Balance (ability); Best practice; Selection (genetic algorithm); Democracy; Security policy","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":[0.005795821,0.0002037189,0.0004167821,0.005890566,0.008309426,0.00484767,0.001292768,0.0007621486,0.003732654],"category_scores_gemma":[0.01327337,0.0002638449,0.0003582554,0.006377896,0.002413624,0.0007299383,0.002790644,0.0006712833,0.0003468124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1063804,"about_ca_system_score_gemma":0.1282432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9696668,"about_ca_topic_score_gemma":0.9883004,"domain_scores_codex":[0.990594,0.001534511,0.0002177388,0.0004910546,0.002755193,0.004407441],"domain_scores_gemma":[0.9888842,0.00151181,0.0006722667,0.0002425923,0.006071536,0.002617527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008900609,0.0002388385,0.5818369,0.0003532536,0.0001923536,0.0008652646,0.07275614,0.008498218,0.002045679,0.1221416,0.02140532,0.1887764],"study_design_scores_gemma":[0.00005754126,0.000127455,0.8697153,0.0001915189,0.0000474933,0.0001457024,0.06372163,0.003008382,0.0007100361,0.0009898038,0.06119813,0.00008700851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500739,0.0009837315,0.0008533744,0.002420461,0.00003682671,0.0001718847,0.0005866518,0.00004580982,0.04482734],"genre_scores_gemma":[0.9885054,0.0003342488,0.0007284763,0.0002214616,0.00000476329,0.00005075245,0.0003956186,0.0000117391,0.009747673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063804,"threshold_uncertainty_score":0.7718471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04716681567008869,"score_gpt":0.3883902736328068,"score_spread":0.3412234579627181,"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."}}