{"id":"W2765716019","doi":"10.5539/ass.v13n11p152","title":"The Soldiers Welfare: The Military Keynesianism Perspective for The Indonesian Armed Forces’s Professionalism","year":2017,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institution; Welfare; Indonesian; Context (archaeology); Political science; Government (linguistics); Sovereignty; Public administration; Economic Justice; Democracy; Christian ministry; Welfare state; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001245637,0.0002100717,0.0001972471,0.0007649204,0.001258422,0.002140594,0.0002315122,0.000863584,0.004669329],"category_scores_gemma":[0.001524316,0.00008189066,0.0002758847,0.0005510781,0.004686044,0.002524679,0.001439628,0.002347771,0.0002356309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792974,"about_ca_system_score_gemma":0.00164284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002852593,"about_ca_topic_score_gemma":0.00283212,"domain_scores_codex":[0.9995155,0.0002244817,0.0000134859,0.00006100308,0.00007280378,0.0001127442],"domain_scores_gemma":[0.999392,0.0002715233,0.0001464353,0.00003402186,0.00006437278,0.0000917153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005782908,0.000009137711,0.0006208321,0.000008874896,0.00000216437,0.00003458981,0.0003558035,0.0002695483,0.00003178241,0.9956534,0.0006940777,0.002314024],"study_design_scores_gemma":[0.00001205022,0.000023111,0.003790542,0.00009504264,0.00000654996,0.00005390577,0.000998825,0.001879575,0.00007188124,0.9735891,0.01947292,0.000006534082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2851278,0.01078614,0.03061665,0.1614646,0.0005121374,0.00005055219,0.0001985357,0.00002400932,0.5112196],"genre_scores_gemma":[0.9865279,0.002572751,0.001065112,0.001068077,0.0003120475,0.00002228905,0.00001567606,0.000004957931,0.008411343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004669329,"threshold_uncertainty_score":0.02026451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050119179066611,"score_gpt":0.3164055892186939,"score_spread":0.2659043974280278,"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."}}