{"id":"W2002636134","doi":"10.1111/jbl.12032","title":"The Role of Public–Private Partnerships in Facilitating Cross‐Border Logistics: A Case Study at the U.S./Canadian Border","year":2013,"lang":"en","type":"article","venue":"Journal of Business Logistics","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Texas Tech University","keywords":"Business; Context (archaeology); Quality (philosophy); Government (linguistics); Supply chain; Humanitarian Logistics; Private sector; Supply chain management; Marketing; Industrial organization; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00339834,0.0003598899,0.0002396658,0.001778866,0.02472123,0.004441069,0.001416208,0.001394871,0.002922262],"category_scores_gemma":[0.006388804,0.0003127231,0.0002937425,0.003752806,0.004379579,0.002046454,0.003250216,0.001624962,0.0001464992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05435746,"about_ca_system_score_gemma":0.08382986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9623724,"about_ca_topic_score_gemma":0.9893438,"domain_scores_codex":[0.996438,0.00133121,0.00006664907,0.0001586486,0.0006086959,0.001396832],"domain_scores_gemma":[0.995038,0.001914605,0.0003942079,0.0002883524,0.00122452,0.00114041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003481383,0.001213115,0.1744147,0.0004981779,0.00005604063,0.02214098,0.5641159,0.004355511,0.003702788,0.10905,0.01513425,0.1049703],"study_design_scores_gemma":[0.00004656296,0.000128226,0.06872307,0.0002289477,0.00004186769,0.0007829448,0.8787593,0.002818141,0.0007598947,0.001944567,0.04571743,0.00004914502],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612557,0.0003045323,0.0007488971,0.002266119,0.00001180365,0.0001959185,0.0001018456,0.00001076798,0.03510446],"genre_scores_gemma":[0.9961563,0.000413522,0.0008953003,0.0001823343,0.000002119692,0.00002890052,0.00003888827,0.000003676424,0.002278961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435746,"threshold_uncertainty_score":0.3943928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380915238376552,"score_gpt":0.3030564377257418,"score_spread":0.2492472853419762,"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."}}