{"id":"W310991897","doi":"","title":"The Canadian Forces Officer Selection System","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Selection (genetic algorithm); Personnel selection; Crew; Operations research; Process (computing); Aptitude; Operations management; Engineering; Computer science; Aeronautics; Management; Psychology; Political science; Artificial intelligence; Law; Economics","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":[0.004936371,0.000930656,0.000617752,0.01169245,0.008792281,0.003365509,0.002807613,0.0007299961,0.07858896],"category_scores_gemma":[0.01658923,0.0006129657,0.0006434936,0.01239274,0.0008040667,0.001102916,0.002501804,0.0008873906,0.02104246],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04098469,"about_ca_system_score_gemma":0.1621073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9725815,"about_ca_topic_score_gemma":0.9803355,"domain_scores_codex":[0.9914855,0.0006034293,0.0005131668,0.0005480674,0.005382401,0.001467368],"domain_scores_gemma":[0.9727284,0.000672469,0.0008667666,0.0006412101,0.02171612,0.00337511],"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":[0.0001034787,0.00004157706,0.01655073,0.0003072542,0.00002046548,0.0001212721,0.0008819767,0.0005294687,0.0003746381,0.01419901,0.8103542,0.1565159],"study_design_scores_gemma":[0.0000196179,0.00002911631,0.04384612,0.0002361846,0.00001467638,0.0000715319,0.0006387277,0.00072214,0.0001862214,0.0006285692,0.9535419,0.00006524312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03928682,0.00444833,0.0135774,0.01641616,0.002716586,0.005846828,0.1803107,0.004230709,0.7331665],"genre_scores_gemma":[0.153268,0.009153997,0.04200017,0.005769399,0.0009792565,0.003223553,0.1468343,0.001340667,0.6374305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9590153,"threshold_uncertainty_score":0.2973661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479922164429504,"score_gpt":0.275351377615264,"score_spread":0.2605521559709689,"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."}}