{"id":"W3170421171","doi":"","title":"調整可能なプライバシー性能トレードオフを持つ安全な位置ベース警報システム【JST・京大機械翻訳】","year":2020,"lang":"ja","type":"article","venue":"GEOMATICA","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001184821,0.0002441723,0.0001931745,0.00104185,0.002136006,0.006291542,0.0005802189,0.0009027718,0.02025749],"category_scores_gemma":[0.002631698,0.0001915637,0.0002250084,0.0009694766,0.005416281,0.004825323,0.001290248,0.001399656,0.003266366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003042341,"about_ca_system_score_gemma":0.00273109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009304354,"about_ca_topic_score_gemma":0.006411307,"domain_scores_codex":[0.9992825,0.000117107,0.00003710418,0.0001387174,0.0003010046,0.0001235906],"domain_scores_gemma":[0.9989792,0.0002207508,0.0001091781,0.00008054443,0.0004625642,0.000147828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003333368,0.0000338336,0.003104073,0.00009624003,0.0000219614,0.0001487881,0.006649865,0.001171469,0.001661017,0.9253461,0.007358953,0.05437423],"study_design_scores_gemma":[0.00002193828,0.00008659232,0.01936667,0.0001963434,0.00007005268,0.0003943785,0.01820572,0.002616159,0.004401148,0.6531417,0.3014264,0.00007298776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0915565,0.001225182,0.01631605,0.0118521,0.0005836415,0.00004775924,0.0002027142,0.0001256104,0.8780904],"genre_scores_gemma":[0.8768579,0.0009932765,0.007165355,0.0007952114,0.0002965797,0.00004236464,0.0000902407,0.00009093078,0.1136681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02025749,"threshold_uncertainty_score":0.0677681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348020289580266,"score_gpt":0.1988187853666501,"score_spread":0.1853385824708475,"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."}}