{"id":"W4285080585","doi":"10.5220/0010506500002996","title":"Tailored Military Recruitment through Machine Learning Algorithms","year":2021,"lang":"en","type":"article","venue":"","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004283719,0.000722822,0.001326399,0.001424099,0.0007219304,0.001737988,0.001504262,0.002221107,0.008740074],"category_scores_gemma":[0.02119439,0.0006237564,0.0005672119,0.001135823,0.0008113504,0.002263891,0.001533732,0.002112332,0.001485662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383311,"about_ca_system_score_gemma":0.00221341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460454,"about_ca_topic_score_gemma":0.003759446,"domain_scores_codex":[0.9985397,0.0009125088,0.0000466973,0.0002179568,0.0001171187,0.0001660379],"domain_scores_gemma":[0.9914497,0.006797984,0.0005028964,0.0004661706,0.000489215,0.0002940889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002870736,0.0004228888,0.008622484,0.000146714,0.00008891123,0.0001048726,0.0001712557,0.7574741,0.0007278366,0.0370994,0.01027356,0.1845808],"study_design_scores_gemma":[0.00005674272,0.00005942498,0.0006255354,0.0000307872,0.00001725774,0.00002197603,0.00005156092,0.9544061,0.0002543,0.04262154,0.00184518,0.000009582413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127009,0.001082208,0.8437202,0.004904684,0.0004026743,0.0003961242,0.0002977638,0.001384863,0.02080263],"genre_scores_gemma":[0.8445647,0.000443855,0.1406242,0.001138591,0.0002725679,0.0004876867,0.0003798894,0.0001912086,0.01189721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008740074,"threshold_uncertainty_score":0.02923846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315470215709837,"score_gpt":0.2844618973485655,"score_spread":0.1529148757775818,"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."}}