{"id":"W351563682","doi":"","title":"共同研究「21世紀東アジアにおける政治危機」2009年度共同研究成果報告書","year":2010,"lang":"ja","type":"article","venue":"Meiji Gakuin University Institutional Repository (Meiji Gakuin University)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Peking University; University of Oxford; University of Cambridge; McGill University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001988135,0.0003099248,0.0002969712,0.001262781,0.00416778,0.00683659,0.000619639,0.002575745,0.0227169],"category_scores_gemma":[0.003296727,0.0002492453,0.0003378791,0.00199128,0.00248997,0.002657908,0.001495956,0.002288262,0.004969585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00920482,"about_ca_system_score_gemma":0.01588353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05552474,"about_ca_topic_score_gemma":0.0528679,"domain_scores_codex":[0.9987857,0.0002492735,0.0001018702,0.0001616502,0.0004237244,0.0002777244],"domain_scores_gemma":[0.998985,0.0001932924,0.00007066967,0.00008644058,0.0004972884,0.0001673278],"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":[0.0001159621,0.00009321077,0.003578599,0.0002316588,0.00002200594,0.0002235528,0.008060771,0.0007718481,0.0007916781,0.6726025,0.1691805,0.1443277],"study_design_scores_gemma":[0.00001021454,0.00002880266,0.006687815,0.0002521222,0.0000185336,0.00007836136,0.002674113,0.0001515763,0.0009413206,0.02816512,0.9609582,0.0000338129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02594952,0.00647018,0.001948273,0.0313031,0.002025733,0.00008917271,0.0007856158,0.00006744546,0.931361],"genre_scores_gemma":[0.3825043,0.009182516,0.009092673,0.008575011,0.000574522,0.0002742898,0.0009361612,0.0001391651,0.5887214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05552474,"threshold_uncertainty_score":0.1104031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005884147030051621,"score_gpt":0.1609603039131005,"score_spread":0.1550761568830488,"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."}}