{"id":"W4360592086","doi":"10.5267/j.dsl.2022.12.002","title":"Revolution in military affairs (RMA) by Indonesian armed forces towards competitive advantage","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SWOT analysis; Competitive advantage; China; Indonesian; Business; Industrial organization; Political science; Marketing; 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":[0.001818184,0.0003656646,0.0001167607,0.001539058,0.001075905,0.004171223,0.0002349191,0.0003626061,0.00193124],"category_scores_gemma":[0.001980191,0.0001105145,0.000293821,0.001740747,0.001882839,0.001407283,0.00206028,0.0006584903,0.0002946519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207441,"about_ca_system_score_gemma":0.004774159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034641,"about_ca_topic_score_gemma":0.003448481,"domain_scores_codex":[0.9978144,0.0007594993,0.0001532917,0.0001406178,0.0007408824,0.0003912327],"domain_scores_gemma":[0.9984079,0.0003831073,0.0004740797,0.00006153862,0.000303978,0.000369398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001318153,0.0002940515,0.2034417,0.0009600045,0.0002147706,0.002407243,0.04655635,0.003370212,0.008160882,0.3160948,0.01094214,0.4074261],"study_design_scores_gemma":[0.00005739284,0.0006737537,0.5166916,0.001340421,0.0001567274,0.002918667,0.1452247,0.009324951,0.006624297,0.04499337,0.2718661,0.000127964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6858053,0.001054467,0.004275851,0.003440999,0.00008210165,0.0001528879,0.00006360791,0.0000313143,0.3050936],"genre_scores_gemma":[0.9951797,0.0005615554,0.001626766,0.0001733606,0.0000116055,0.00004565964,0.0000328943,0.000003309018,0.002365132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004171223,"threshold_uncertainty_score":0.01601619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008135843958831004,"score_gpt":0.2488387256471735,"score_spread":0.2407028816883425,"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."}}