{"id":"W252723550","doi":"","title":"Welfare Costs of Border Delays: Numerical Calculations from a Canadian Regional Trade model/Les Couts En Bien-Etre Des Retards a la Frontiere: Analyse Numerique a L'aide D'un Modele Canadien De Commerce Regional","year":2009,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare economics; Welfare; Computable general equilibrium; Economics; Humanities; Economy; Political science; Geography; Microeconomics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008368121,0.0005746588,0.0007002712,0.0009866999,0.001516359,0.001422706,0.001571597,0.001378248,0.005268234],"category_scores_gemma":[0.003606571,0.0003773545,0.0009229357,0.001778213,0.001215791,0.0005784983,0.0006762249,0.001158614,0.0002231579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01313741,"about_ca_system_score_gemma":0.007911284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8564785,"about_ca_topic_score_gemma":0.7726368,"domain_scores_codex":[0.9997101,0.00009683858,0.000008832423,0.00003158753,0.00006682158,0.00008569226],"domain_scores_gemma":[0.99826,0.001084325,0.000107056,0.00006244972,0.0003994258,0.00008681256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001845874,0.0000126874,0.0009909937,0.00001587541,0.000006663631,0.00004058794,0.00002553812,0.9933012,0.00007175148,0.004015159,0.000407191,0.001093863],"study_design_scores_gemma":[0.00002676379,0.00001816046,0.001015433,0.00001815819,0.00001912439,0.00001322466,0.0001300301,0.9960119,0.0001092734,0.001584568,0.001040449,0.00001293525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513448,0.0009730802,0.04335423,0.001794123,0.00009610919,0.0001848512,0.00375258,0.0002031929,0.09829701],"genre_scores_gemma":[0.9793183,0.0004454499,0.01166773,0.0001049501,0.00001026341,0.00009046446,0.0005128036,0.00004595052,0.007804045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1435215,"threshold_uncertainty_score":0.2887335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931451380829276,"score_gpt":0.2894989005315542,"score_spread":0.2601843867232614,"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."}}