{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0119654,0.0005276421,0.0006745427,0.001373158,0.002896635,0.01019686,0.002108901,0.006527022,0.02940668],"category_scores_gemma":[0.05809132,0.0005416842,0.0005411415,0.001874051,0.006350595,0.01453386,0.002931269,0.007660327,0.01265871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003988764,"about_ca_system_score_gemma":0.004228171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412119,"about_ca_topic_score_gemma":0.0129949,"domain_scores_codex":[0.9935828,0.002717606,0.0004361864,0.0008685986,0.00142903,0.000965695],"domain_scores_gemma":[0.9658625,0.01316786,0.004795005,0.0027036,0.009891788,0.003579285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000288719,0.0002183756,0.0652427,0.001024585,0.0001147558,0.0007719996,0.004190125,0.000747574,0.001079821,0.06851255,0.4497097,0.4080991],"study_design_scores_gemma":[0.00004517074,0.0002737794,0.02335217,0.002188756,0.0001155972,0.001690116,0.02873689,0.001200928,0.001263628,0.07207222,0.8688815,0.0001792729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0174022,0.01877075,0.01236611,0.8947478,0.01049153,0.00003898361,0.0006547408,0.0005282604,0.04499949],"genre_scores_gemma":[0.5413288,0.07233556,0.01855035,0.2827767,0.02544049,0.0002078552,0.001767661,0.0008911632,0.05670143],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02940668,"threshold_uncertainty_score":0.09837508,"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."}}