{"id":"W2744600009","doi":"","title":"ストリーミングMETIS分配【Powered by NICT】","year":2016,"lang":"ja","type":"article","venue":"IEEE Conference Proceedings","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Aeronautics; Computer science; Engineering; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001796704,0.000280474,0.0002315305,0.0005762107,0.0008912974,0.001425156,0.0007371033,0.0005042386,0.02205017],"category_scores_gemma":[0.0005066145,0.0001367436,0.0002126289,0.0004495063,0.0004180466,0.0008039296,0.0009509148,0.0006282434,0.008449158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218219,"about_ca_system_score_gemma":0.0005765944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391343,"about_ca_topic_score_gemma":0.002233721,"domain_scores_codex":[0.9997577,0.00001982854,0.000008892574,0.00003517816,0.0001346265,0.00004362351],"domain_scores_gemma":[0.9997509,0.00002588957,0.00002036433,0.00004605197,0.0001290843,0.00002768363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007022314,0.0002409031,0.006405138,0.0005997351,0.0000909306,0.001516278,0.001131057,0.005651431,0.3085622,0.1024617,0.1300127,0.4426257],"study_design_scores_gemma":[0.00002996359,0.0002311221,0.003874108,0.0001547569,0.0000824092,0.001487981,0.0006361436,0.01900241,0.1850885,0.009354675,0.7800049,0.00005324255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1476634,0.002489432,0.06427971,0.004168413,0.003606876,0.000254978,0.0008738646,0.004102375,0.772561],"genre_scores_gemma":[0.7217721,0.001529234,0.01725993,0.001604281,0.0005985216,0.0002211681,0.0007619822,0.0003299053,0.2559229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02205017,"threshold_uncertainty_score":0.07376516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493150639220009,"score_gpt":0.2161259955694155,"score_spread":0.2011944891772154,"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."}}