{"id":"W2899682372","doi":"10.22456/2238-6912.87997","title":"EXPERIÊNCIAS SUBNACIONAIS EM POLÍTICAS DE PROMOÇÃO DA INDÚSTRIA DE DEFESA: O CASO DO RIO GRANDE DO SUL","year":2018,"lang":"en","type":"article","venue":"Austral Brazilian Journal of Strategy & International Relations","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Political science; Government (linguistics); State (computer science); Public policy; Public administration; National government; Economic growth; Welfare economics; Geography; Economy; Business; Economics; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007699563,0.0002419676,0.0003914353,0.0004819537,0.0003076972,0.0002304792,0.0004684889,0.0001977492,0.002227169],"category_scores_gemma":[0.0005661617,0.0002563726,0.0003221825,0.0002935306,0.0002755893,0.0006352252,0.00004737815,0.0005115319,0.0005406137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057066,"about_ca_system_score_gemma":0.0002490319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002674678,"about_ca_topic_score_gemma":0.0002865863,"domain_scores_codex":[0.997883,0.00005050307,0.001147439,0.0002863016,0.0001666081,0.0004661375],"domain_scores_gemma":[0.9983253,0.000175254,0.0006355578,0.0002125684,0.0003858666,0.0002654676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002972462,0.0003936692,0.4546774,0.00002224095,0.001153648,0.0001876691,0.01347932,0.0007600964,0.00021836,0.4886262,0.03777232,0.002411743],"study_design_scores_gemma":[0.002361668,0.0007108671,0.7443387,0.0001358778,0.00008851718,0.0008798526,0.004216132,0.0003302151,0.0002459548,0.1992691,0.04680532,0.0006177627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409347,0.001077534,0.0008918683,0.0022627,0.0009302527,0.0001347029,0.0002673501,0.00002098651,0.05347997],"genre_scores_gemma":[0.9929719,0.0001386141,0.00125422,0.0001793172,0.001122893,0.000009395108,0.00001650293,0.00002836957,0.004278818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2896613,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302687946585383,"score_gpt":0.3130230885343688,"score_spread":0.259996209068515,"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."}}