{"id":"W3182151148","doi":"","title":"METIS:有限状態特性の資源と文脈意識モニタリング【JST・京大機械翻訳】","year":2018,"lang":"ja","type":"article","venue":"Lecture notes in computer science","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Metis; 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":[0.0008010372,0.000524875,0.0003574847,0.001058927,0.001595017,0.003670474,0.0007714009,0.0008291794,0.035808],"category_scores_gemma":[0.002699218,0.0002778566,0.0003865676,0.000927784,0.001578456,0.004001184,0.001849574,0.001259163,0.0125894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116482,"about_ca_system_score_gemma":0.001550902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002623362,"about_ca_topic_score_gemma":0.002376585,"domain_scores_codex":[0.999268,0.0001132938,0.0000401483,0.0001466575,0.0003550874,0.00007685033],"domain_scores_gemma":[0.9993618,0.0001493341,0.00007087238,0.0001236424,0.0002198119,0.00007459162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003251693,0.0000788188,0.002395031,0.0002831198,0.00003420337,0.0003704915,0.001555393,0.001558924,0.01181205,0.6965906,0.06371046,0.2212857],"study_design_scores_gemma":[0.00006159423,0.0001574291,0.003692355,0.0001777083,0.00006898943,0.000968773,0.001600577,0.01333147,0.03402295,0.2486895,0.6971466,0.00008217064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03889263,0.001534117,0.1978114,0.006954818,0.002856443,0.0002062811,0.00293514,0.00585416,0.742955],"genre_scores_gemma":[0.4829466,0.001521781,0.1453006,0.001176296,0.001371527,0.0002841362,0.002580008,0.002307949,0.3625111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.035808,"threshold_uncertainty_score":0.1197897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010057768187578,"score_gpt":0.2331430569775422,"score_spread":0.2230852887899642,"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."}}