{"id":"W3179455946","doi":"","title":"インターチェンジダイアグラムガイドサインの複雑性の包括的評価と分類【JST・京大機械翻訳】","year":2018,"lang":"ja","type":"article","venue":"Journal of Advanced Transportation","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"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":[0.0009235761,0.0002848173,0.0002141667,0.0009848732,0.002006244,0.003092147,0.0004887047,0.0007682984,0.0238926],"category_scores_gemma":[0.002489317,0.0002102532,0.0002833879,0.0007474697,0.002121813,0.002758962,0.0008991174,0.001028052,0.006053756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643481,"about_ca_system_score_gemma":0.002300065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008986295,"about_ca_topic_score_gemma":0.006744667,"domain_scores_codex":[0.9994001,0.0000568423,0.00004295341,0.0001193988,0.0002968708,0.000083763],"domain_scores_gemma":[0.9985951,0.0001739603,0.0001322383,0.0001036823,0.0008597985,0.0001351403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002465714,0.0001911922,0.02579437,0.0003389174,0.00009404567,0.001490457,0.007496739,0.004000894,0.03046306,0.5947763,0.03341644,0.3016909],"study_design_scores_gemma":[0.0000456959,0.0003052976,0.06998173,0.0002320857,0.0002123307,0.002075437,0.01185272,0.009015202,0.04689674,0.2035317,0.6556607,0.0001904385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1733702,0.001512691,0.04638354,0.005590846,0.001723179,0.0001808001,0.0006618593,0.0003523287,0.7702246],"genre_scores_gemma":[0.7343069,0.00140185,0.01879851,0.0008797755,0.0006231396,0.00007927416,0.000371462,0.0001493564,0.2433896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0238926,"threshold_uncertainty_score":0.07992876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007002335112307635,"score_gpt":0.2316441753842339,"score_spread":0.2246418402719263,"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."}}