{"id":"W2909455524","doi":"10.4018/978-1-5225-7591-7.ch012","title":"Decision Support for Optimal Use of Joint Training Funds in the Canadian Armed Forces","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in public policy and administration (APPA) book series","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Joint (building); Portfolio; Context (archaeology); Resource (disambiguation); Operations research; Training (meteorology); Value (mathematics); Computer science; Engineering; Operations management; Business; Finance; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004226907,0.0009016843,0.001280144,0.001658563,0.001892505,0.006115746,0.002044399,0.001744793,0.008188769],"category_scores_gemma":[0.01424589,0.0005948429,0.000550735,0.002550618,0.001214772,0.00197136,0.001055536,0.001635787,0.0004809937],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04040119,"about_ca_system_score_gemma":0.05415214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.835166,"about_ca_topic_score_gemma":0.8730947,"domain_scores_codex":[0.9976059,0.000759701,0.00006302522,0.0001722141,0.0008439157,0.0005551986],"domain_scores_gemma":[0.9967212,0.002147269,0.0002030203,0.00006339781,0.0006443731,0.0002206839],"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":[0.0001415137,0.00006589545,0.003898265,0.0002009006,0.00006135159,0.0001021924,0.0003808319,0.580398,0.0005258854,0.2580419,0.04062721,0.1155561],"study_design_scores_gemma":[0.0000644609,0.00005673133,0.0051432,0.0003278444,0.0000682446,0.00002932861,0.001225393,0.8739822,0.0006291801,0.07986438,0.03850463,0.0001044528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2278336,0.01287346,0.2591738,0.03244487,0.000643675,0.001495221,0.009205024,0.0009216008,0.4554088],"genre_scores_gemma":[0.9186491,0.005158725,0.04999215,0.0004688553,0.00010013,0.0002086042,0.001207291,0.00007660674,0.02413856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9595988,"threshold_uncertainty_score":0.3316094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1045162169005166,"score_gpt":0.2907867692593692,"score_spread":0.1862705523588526,"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."}}