{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003307249,0.0002692622,0.0004066134,0.0004103286,0.0009125826,0.001248433,0.0006112914,0.00009401629,0.000237261],"category_scores_gemma":[0.004048389,0.000158828,0.00010825,0.001007045,0.0003917421,0.0005798088,0.0003585484,0.0004363185,0.00005514304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923119,"about_ca_system_score_gemma":0.0001502537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06069663,"about_ca_topic_score_gemma":0.2279244,"domain_scores_codex":[0.9973312,0.0001195492,0.001102477,0.0002187976,0.0006139912,0.0006140028],"domain_scores_gemma":[0.996015,0.0006786116,0.000976291,0.0004907601,0.001783673,0.00005563062],"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":[0.00007329091,0.0005340513,0.758413,0.0002487787,0.0002698566,0.001563292,0.001362736,0.1844203,0.00002608638,0.007515355,0.002654054,0.04291917],"study_design_scores_gemma":[0.004489085,0.0001627169,0.2689467,0.0002359952,0.0004958233,0.0005903557,0.1152049,0.1542778,0.000007219415,0.01459537,0.4397845,0.001209543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574724,0.001083288,0.01825036,0.01277248,0.001297794,0.001396825,0.00001373211,0.00004267501,0.007670439],"genre_scores_gemma":[0.9984016,0.00002031029,0.000173,0.0004040335,0.0004937205,0.00002121303,0.000004542454,0.00002996206,0.00045159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4894663,"threshold_uncertainty_score":0.9997883,"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."}}