{"id":"W4406612298","doi":"10.1109/wsc63780.2024.10838784","title":"Experience Accumulation in Military Workforce Planning","year":2024,"lang":"en","type":"article","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Workforce; Computer science; Business; Economic growth; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001959339,0.00005388065,0.00004567957,0.0001520969,0.00004293824,0.0001044856,0.000291943,0.00001875542,0.00001978903],"category_scores_gemma":[0.0000302697,0.00004634053,0.00001987911,0.0007909096,0.00002218666,0.001324848,0.0001207828,0.00006778847,0.00005731118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000255356,"about_ca_system_score_gemma":0.0000331158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004174052,"about_ca_topic_score_gemma":0.00001096415,"domain_scores_codex":[0.9992793,0.00001440525,0.000106187,0.0002868739,0.0001387052,0.0001745233],"domain_scores_gemma":[0.9997306,0.00008202004,0.000004926471,0.0001357492,0.00001433747,0.00003236869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003780364,0.00002720785,0.01594615,0.00002793055,0.000003551167,0.0002493839,0.04911678,0.004516861,0.004771271,0.1394625,0.0009095574,0.784965],"study_design_scores_gemma":[0.00005661978,0.00001568244,0.02452284,0.0001909851,4.411819e-7,0.000008901097,0.0009505341,0.9624872,0.0008752453,0.005505356,0.00524535,0.0001408453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225522,0.0008075604,0.7564943,0.0004595213,0.000351825,0.00006765785,1.015337e-7,0.0002195,0.01607755],"genre_scores_gemma":[0.9917275,0.000007967469,0.007388733,0.0003194279,0.0000272043,0.00000964922,4.311645e-7,0.000001762121,0.0005172668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9579703,"threshold_uncertainty_score":0.1889712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025471307946986,"score_gpt":0.3763751317412227,"score_spread":0.2738280009465241,"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."}}