{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001924906,0.0005026001,0.000399991,0.0008913,0.0005671505,0.002092658,0.001148082,0.000841655,0.01050904],"category_scores_gemma":[0.008750383,0.0005029811,0.0006094952,0.0008165661,0.001174238,0.002679557,0.002568703,0.001163906,0.0007724233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670255,"about_ca_system_score_gemma":0.001923291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281444,"about_ca_topic_score_gemma":0.009699408,"domain_scores_codex":[0.9987411,0.000549036,0.00005176451,0.0002203446,0.0001992766,0.0002384585],"domain_scores_gemma":[0.9968703,0.001920822,0.000368251,0.0002205787,0.0002548869,0.0003651313],"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":[0.0002450423,0.0002376317,0.01465045,0.0001987036,0.00005058254,0.0003935811,0.001725696,0.7741984,0.0009021154,0.1215963,0.003124673,0.08267687],"study_design_scores_gemma":[0.0001019822,0.0005006873,0.01136191,0.0003077213,0.00005556967,0.0002708021,0.001641399,0.8299037,0.00133613,0.1377198,0.01670244,0.00009787385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3680812,0.001119624,0.5374784,0.002383401,0.0001473326,0.0003469668,0.0009479003,0.0005294214,0.08896577],"genre_scores_gemma":[0.9540617,0.000345539,0.03802345,0.00009536649,0.00002305616,0.0001885779,0.0001995746,0.00005836145,0.007004293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281444,"threshold_uncertainty_score":0.03515625,"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."}}