{"id":"W7060928337","doi":"","title":"Officer Selection (la Selection des officiers)","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Selection (genetic algorithm); Personnel selection; Theme (computing); Czech; Military personnel","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":[0.005591184,0.0009698207,0.0005988206,0.001235563,0.003304837,0.004644964,0.000886954,0.002435705,0.2863977],"category_scores_gemma":[0.009974619,0.0003852197,0.0006817878,0.0005461219,0.0005121654,0.001608048,0.004179167,0.002547929,0.1560447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577699,"about_ca_system_score_gemma":0.003813221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255827,"about_ca_topic_score_gemma":0.007084964,"domain_scores_codex":[0.9962603,0.0009267909,0.0002022405,0.0002937337,0.001433179,0.0008837818],"domain_scores_gemma":[0.99072,0.0006489126,0.0004826428,0.0002904249,0.004184857,0.003673091],"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":[0.00007281291,0.0000400679,0.0004659255,0.0001040547,0.000003208455,0.000102642,0.0002459077,0.00002426055,0.0006644892,0.001329506,0.9576383,0.0393088],"study_design_scores_gemma":[0.000009431852,0.00003866616,0.001379614,0.00006412062,0.000001372333,0.00005864303,0.0003175829,0.00003269086,0.0001355523,0.0001386019,0.9978173,0.000006569321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01760681,0.01868957,0.007802211,0.1312162,0.2549518,0.002836507,0.004601255,0.002353312,0.5599423],"genre_scores_gemma":[0.02324555,0.003347329,0.001619326,0.01046169,0.01811263,0.000654888,0.001033606,0.0004791538,0.9410459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2863977,"threshold_uncertainty_score":0.9580957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007462574382784,"score_gpt":0.2522255722646181,"score_spread":0.2421509465207903,"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."}}