{"id":"W6982670618","doi":"","title":"Is RFID the Answer to Resurgent Border Traffic?","year":2012,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Traffic volume; Volume (thermodynamics); Road traffic; Work (physics); Travel time","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":[0.0004361826,0.0002574659,0.0002513694,0.0002393024,0.0003042121,0.00008788064,0.0004312428,0.0001315272,0.0002312576],"category_scores_gemma":[0.0000672134,0.0002172814,0.0001416498,0.0004565484,0.00004707148,0.0005679872,0.0001814248,0.0002127826,0.0003133056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580189,"about_ca_system_score_gemma":0.00003467169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005011186,"about_ca_topic_score_gemma":0.0003312696,"domain_scores_codex":[0.9983449,0.0001438087,0.0002944535,0.0002972565,0.0004136684,0.0005058863],"domain_scores_gemma":[0.9986137,0.000214834,0.0001822144,0.0005971052,0.0001146243,0.0002775691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002649655,0.0006209459,0.9128226,0.0001957367,0.0002226888,0.00003416677,0.03951077,0.0007283365,0.0003190647,0.01998447,0.0138521,0.01144413],"study_design_scores_gemma":[0.0008243192,0.00007804944,0.1889361,0.0001145408,0.0001699655,0.00002309738,0.001104387,0.0001434104,0.0004945563,0.0001992836,0.8073115,0.000600858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886484,0.00002460997,0.003889536,0.003220644,0.0006081385,0.0004347001,0.00003556042,0.0001813478,0.002957068],"genre_scores_gemma":[0.9841603,0.000009962154,0.0008565576,0.001097983,0.0002818484,0.00000160504,0.00001839741,0.00004739459,0.01352593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7934594,"threshold_uncertainty_score":0.886048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06715679075697932,"score_gpt":0.3237971733704514,"score_spread":0.2566403826134721,"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."}}