{"id":"W2745000712","doi":"","title":"道路網における空間に依存する信頼性のある最短経路を見つけるための効率的な解法アルゴリズム【Powered by NICT】","year":2016,"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":"Aeronautics; Engineering; Aerospace engineering; 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":[0.0003959205,0.000227821,0.0001792222,0.0007477251,0.001358522,0.001464375,0.0004274918,0.0004466959,0.009476644],"category_scores_gemma":[0.001074374,0.0001623683,0.0001727237,0.0004886073,0.001304474,0.0009732071,0.0005786678,0.0006264661,0.002754347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240543,"about_ca_system_score_gemma":0.0009525905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488523,"about_ca_topic_score_gemma":0.002740344,"domain_scores_codex":[0.9995731,0.00004256713,0.00002250411,0.00007402058,0.0002201252,0.00006772052],"domain_scores_gemma":[0.9993337,0.0001197749,0.0000771988,0.00007826224,0.0003429625,0.00004808812],"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":[0.0004965949,0.0002352911,0.02711351,0.0005961992,0.00009442875,0.002317675,0.00478927,0.004850545,0.2429573,0.3742341,0.02056054,0.3217546],"study_design_scores_gemma":[0.00003828697,0.0002890843,0.04581112,0.0002301394,0.0001531495,0.003238212,0.006669274,0.01530924,0.4906029,0.0718276,0.3656601,0.0001708951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3429528,0.002593855,0.0420181,0.001785276,0.0006894492,0.0001971289,0.0004931173,0.0004109593,0.6088592],"genre_scores_gemma":[0.9134697,0.001324845,0.0128186,0.0002597935,0.0001895238,0.0001475338,0.0002861042,0.00006413474,0.07143979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009476644,"threshold_uncertainty_score":0.03170252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004916072688546676,"score_gpt":0.2133579776355112,"score_spread":0.2084419049469645,"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."}}