{"id":"W2317674226","doi":"10.5509/2013863493","title":"Japan's Evolving National Security Secrecy System: Catalysts and Obstacles","year":2013,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Secrecy; National security; Political science; Computer security; Computer science; 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":[0.003732706,0.0002097571,0.000250996,0.00103442,0.004406501,0.006110676,0.0006729628,0.002353554,0.002593528],"category_scores_gemma":[0.003083296,0.0002496135,0.0002460634,0.001541523,0.006188205,0.002321817,0.003253601,0.002298917,0.0001673801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01096263,"about_ca_system_score_gemma":0.026289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1255141,"about_ca_topic_score_gemma":0.1833469,"domain_scores_codex":[0.9983469,0.0003035993,0.00008601314,0.0001785495,0.0002848328,0.0008001346],"domain_scores_gemma":[0.9966891,0.0004614131,0.0006086461,0.0001566245,0.0008134975,0.001270607],"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":[0.0001738651,0.000210707,0.1544881,0.0003946643,0.0001354606,0.001595801,0.03256283,0.00231386,0.003350456,0.7206154,0.03619698,0.04796184],"study_design_scores_gemma":[0.0001351814,0.0002407678,0.4933024,0.0004086253,0.0002221317,0.0003834034,0.07626732,0.00436835,0.002233824,0.1371581,0.2850525,0.0002272745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137587,0.002084371,0.001129691,0.09699397,0.0003008459,0.00007258082,0.0002151645,0.00003664551,0.08540814],"genre_scores_gemma":[0.9916449,0.0005975121,0.0003044593,0.003114938,0.0000945323,0.00001922787,0.00002655165,0.000005535187,0.004192292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255141,"threshold_uncertainty_score":0.2495672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827073873059596,"score_gpt":0.2320988137092825,"score_spread":0.2238280749786866,"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."}}