{"id":"W2114226764","doi":"","title":"U.S. and Canada Highway Exits","year":2008,"lang":"en","type":"article","venue":"Offline data","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Transport engineering; Environmental science; Engineering","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":[0.00002890803,0.00004940356,0.00004941268,0.00001892267,0.00002748243,0.000005099387,0.0001646424,0.00001447988,0.00001366605],"category_scores_gemma":[0.000007024844,0.00004894872,0.000002745614,0.00003043584,0.00001225066,0.00009830453,0.0000981149,0.00004341665,0.00000378987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001234131,"about_ca_system_score_gemma":0.00001612823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03300801,"about_ca_topic_score_gemma":0.1764379,"domain_scores_codex":[0.999702,0.00000234542,0.00006329834,0.00009335075,0.00006467653,0.00007428849],"domain_scores_gemma":[0.9996236,0.000005525122,0.000005086473,0.0003248678,0.000004833527,0.00003606897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[4.464527e-7,0.000002488145,0.0001248567,0.000009481635,0.000007449898,0.00001381611,0.000004470132,0.0000495359,0.00003242063,0.0001250837,0.9938827,0.005747281],"study_design_scores_gemma":[0.00008865762,0.000003267388,0.002478283,0.000004455112,0.000004041533,0.00001186485,0.00000408512,0.03948176,0.0001676322,0.000002593942,0.9576879,0.00006542673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3967119,0.007030036,0.2984128,0.006519681,0.006300492,0.001617811,0.009794295,0.05273245,0.2208805],"genre_scores_gemma":[0.9967933,0.0008216106,0.001444438,0.0001324171,0.00005627067,0.000002395632,0.0004927503,0.000009012297,0.0002478645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6000813,"threshold_uncertainty_score":0.9734313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534828261505739,"score_gpt":0.1968245663711945,"score_spread":0.1714762837561371,"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."}}