{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002452388,0.0005805831,0.0005503718,0.0001909213,0.0001598504,0.0001345561,0.0008398265,0.0007736329,0.001586934],"category_scores_gemma":[0.0001309842,0.0004655888,0.0001291666,0.0003206528,0.0004742112,0.0008023476,0.00007742094,0.0005270834,0.001017413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229686,"about_ca_system_score_gemma":0.00008652933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003558516,"about_ca_topic_score_gemma":0.00001056,"domain_scores_codex":[0.9974822,0.00001006999,0.0005525505,0.0007182276,0.0002938631,0.0009431359],"domain_scores_gemma":[0.998971,0.00007919193,0.0001156794,0.0003002449,0.0003085382,0.0002252911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000103108,0.000113544,0.002510037,0.0004745944,0.0003011103,0.00001897383,0.002756924,0.000001091439,0.704487,0.1167472,0.1425738,0.02991256],"study_design_scores_gemma":[0.007615851,0.002177717,0.003658515,0.004888135,0.0005314806,0.0002427778,0.009869353,0.004082945,0.5250745,0.202852,0.232174,0.006832642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748877,0.006093191,0.004729462,0.005145987,0.002368974,0.00070034,0.0003028089,0.002305598,0.2294766],"genre_scores_gemma":[0.9883744,0.003959952,0.0003297854,0.00007217716,0.0001613441,0.00006756723,0.000003980499,0.0000667044,0.006964121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2394973,"threshold_uncertainty_score":0.9997796,"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."}}