{"id":"W6991730917","doi":"","title":"Improving Border Crossing Planning and Decision-Making in Whatcom County, Washington, and British Columbia, Canada","year":2020,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Mainland; Agency (philosophy); Public transport; Mile; Transportation planning; Border crossing; Situated; Truck","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":[0.003729619,0.0006004274,0.0004389717,0.003130064,0.01132528,0.007500654,0.002562552,0.0007335757,0.009065025],"category_scores_gemma":[0.01125217,0.00051048,0.0005295083,0.005292164,0.0015639,0.001801909,0.003450192,0.002165673,0.0008253358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1043251,"about_ca_system_score_gemma":0.296597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970255,"about_ca_topic_score_gemma":0.9986198,"domain_scores_codex":[0.9962006,0.0006401616,0.0001197287,0.0003366065,0.001164968,0.001537912],"domain_scores_gemma":[0.9875893,0.0009705853,0.0003168548,0.0002114473,0.007139742,0.003772112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002407322,0.000801857,0.1835105,0.0005607808,0.0002117174,0.00129849,0.02006232,0.009962487,0.000871632,0.01565541,0.3598221,0.407002],"study_design_scores_gemma":[0.000114295,0.000148383,0.3776753,0.00224448,0.0001467313,0.0001932267,0.1587925,0.01831065,0.00108448,0.00656957,0.4343837,0.0003366834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6439068,0.009792487,0.009764823,0.06395506,0.001036322,0.001623891,0.009845531,0.00101706,0.259058],"genre_scores_gemma":[0.9193399,0.006028479,0.01823876,0.003648926,0.00005311078,0.0004083062,0.007185562,0.0002597442,0.0448371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043251,"threshold_uncertainty_score":0.7569349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566902492674638,"score_gpt":0.2851174013940082,"score_spread":0.2694483764672618,"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."}}