{"id":"W656994265","doi":"","title":"A Quarter of Century of National Road Map Database in Japan and Challenging for Contribution to Advanced ITS","year":2013,"lang":"en","type":"article","venue":"20th ITS World CongressITS Japan","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Road map; General partnership; Quarter (Canadian coin); Database; Transport engineering; Service (business); Public–private partnership; Computer science; Business; Engineering; Geography; Cartography; Finance; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.0001495627,0.000125911,0.0002051005,0.0003795603,0.00002403342,0.00001440469,0.0001029804,0.00003845638,0.00003580645],"category_scores_gemma":[0.00004221598,0.0001320317,0.00002905112,0.0001910487,0.00001506713,0.0003268505,0.00003969682,0.00007565928,0.000006567321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003864407,"about_ca_system_score_gemma":0.000008125778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005827856,"about_ca_topic_score_gemma":0.0000594571,"domain_scores_codex":[0.9991506,0.00001375717,0.0003067207,0.0001681528,0.0001597173,0.0002010022],"domain_scores_gemma":[0.9995484,0.00003948772,0.00006503781,0.0001130314,0.0001641359,0.00006989716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004590411,0.0007386717,0.006395685,0.005107012,0.0005953771,0.000004448552,0.005130458,0.01786309,0.3058975,0.1895669,0.1169982,0.3512437],"study_design_scores_gemma":[0.009854473,0.000478884,0.1793417,0.003629278,0.0000897132,0.000005308629,0.001509842,0.6377321,0.1118384,0.0003904758,0.05361782,0.001511972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783936,0.002557742,0.00885189,0.001196841,0.0007879243,0.003416692,0.0003897982,0.001199065,0.00320651],"genre_scores_gemma":[0.9988321,0.0001013747,0.0005890201,0.00005436188,0.00002926903,0.0002130541,0.00005493688,0.00001521468,0.0001106836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.619869,"threshold_uncertainty_score":0.5384097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009518124695624273,"score_gpt":0.240520650902475,"score_spread":0.2310025262068507,"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."}}