{"id":"W2742898573","doi":"","title":"5Gサービス要求と実用例:解析とMETIS IIビジョン【Powered by NICT】","year":2016,"lang":"ja","type":"article","venue":"IEEE Conference Proceedings","topic":"Educational Robotics and Engineering","field":"Computer Science","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":[],"category_scores_codex":[0.0004139956,0.0005175506,0.0004472606,0.0002014813,0.0002262671,0.0008436085,0.001801382,0.0002650627,0.0004129681],"category_scores_gemma":[0.0002538814,0.0004226035,0.0001401595,0.0005833262,0.0001822329,0.001353474,0.000263808,0.0003109056,0.0008310003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071956,"about_ca_system_score_gemma":0.0003837969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004186373,"about_ca_topic_score_gemma":0.000002318894,"domain_scores_codex":[0.9966531,0.00001191732,0.0005944646,0.001048389,0.0007069534,0.0009851749],"domain_scores_gemma":[0.9977024,0.0001598121,0.0002656119,0.00039945,0.0009510573,0.0005216748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003395946,0.0004649657,0.003428604,0.000379964,0.0002198975,0.00001240149,0.009608689,0.00001711323,0.4625044,0.2126408,0.2503221,0.06036718],"study_design_scores_gemma":[0.006230077,0.00191912,0.01148831,0.007755557,0.0003357421,0.0003333312,0.002270245,0.1104652,0.2222548,0.03656791,0.5915176,0.008862128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2785144,0.002869092,0.6016814,0.05741308,0.01469011,0.001184946,0.0001735768,0.001071955,0.0424014],"genre_scores_gemma":[0.9814951,0.0009449147,0.005831997,0.0003468292,0.0004788036,0.0000485106,0.000002738,0.00005004918,0.01080103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7029807,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260805894148932,"score_gpt":0.2365902366458584,"score_spread":0.2139821777043691,"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."}}