{"id":"W181418386","doi":"","title":"Study of the Commercial Vehicle Value of Time for Operation at Border Crossings","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Truck; Business; Phone; Value (mathematics); Order (exchange); Marketing; Transport engineering; Engineering; Finance; Computer science; Geography","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":[0.001272624,0.0001439357,0.0002129279,0.001375175,0.0006720879,0.002026966,0.0004840213,0.0003671236,0.002700931],"category_scores_gemma":[0.006997587,0.00009685525,0.0002962021,0.001925033,0.0006871458,0.0009867088,0.0005459684,0.0006649231,0.0001565405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003283715,"about_ca_system_score_gemma":0.001556592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688376,"about_ca_topic_score_gemma":0.02350403,"domain_scores_codex":[0.9991842,0.0003269001,0.00003528552,0.00006656083,0.0002233167,0.000163718],"domain_scores_gemma":[0.9905516,0.005134899,0.002108941,0.0001928005,0.001011195,0.001000605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002015047,0.0005753164,0.948736,0.00007078102,0.0001231444,0.0007073348,0.007987838,0.003800042,0.001036072,0.008280886,0.0006687245,0.02781236],"study_design_scores_gemma":[0.000006066899,0.0004759866,0.9408512,0.00006037345,0.00004375347,0.0002377593,0.04275409,0.008996828,0.0003651789,0.002081399,0.004100705,0.00002680121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965315,0.00007855504,0.0002181837,0.00007655287,0.00000234961,0.000009517055,0.00005583129,8.053157e-7,0.003026505],"genre_scores_gemma":[0.9994335,0.00005308897,0.0001351252,0.000003816315,0.000001956571,0.000004035948,0.00003453982,8.406838e-7,0.0003331171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9831162,"threshold_uncertainty_score":0.03357095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356379576525486,"score_gpt":0.2874118476432047,"score_spread":0.2638480518779499,"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."}}