{"id":"W2109100146","doi":"","title":"Canadian Defence Spending – A Case Study of Mismanagement","year":2014,"lang":"en","type":"article","venue":"Journal of military and strategic studies","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coast guard; Aeronautics; Prime minister; The arctic; Guard (computer science); Search and rescue; Government (linguistics); Business; Arctic; Political science; Operations management; Engineering; Law; Marine engineering; Oceanography; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092319,0.0001620282,0.000674581,0.000361154,0.0002323112,0.000006910848,0.0001252116,0.00003276553,0.00001782494],"category_scores_gemma":[0.0001289162,0.0001448963,0.00009764272,0.0001479063,0.0001091394,0.0001239796,0.00004811125,0.0001356847,0.000005331945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006913878,"about_ca_system_score_gemma":0.00002032116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07134971,"about_ca_topic_score_gemma":0.1292282,"domain_scores_codex":[0.9986109,0.00005018092,0.0008482932,0.0001919119,0.00005591739,0.0002428062],"domain_scores_gemma":[0.9991835,0.0001618222,0.0002759547,0.0001618103,0.00008688026,0.0001300623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001911372,0.0009216208,0.708784,0.0009026042,0.005489703,0.004412989,0.1458018,0.0006637532,0.000005761716,0.1247838,0.005617903,0.002424968],"study_design_scores_gemma":[0.003318945,0.00511814,0.07824685,0.0001776081,0.0002816246,0.001902127,0.7301774,0.0004184163,0.000004559459,0.1744964,0.00517237,0.0006855049],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223042,0.06443099,0.00000599281,0.0002760958,0.0003038078,0.000120392,0.00001518256,0.000002993911,0.01254031],"genre_scores_gemma":[0.9943101,0.00515301,0.0001624309,0.00007939558,0.0001342183,0.000002894985,2.235564e-7,0.000007099216,0.0001505597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6305372,"threshold_uncertainty_score":0.9348342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001473875832691,"score_gpt":0.2826945261205336,"score_spread":0.1825471385372646,"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."}}