{"id":"W6999081128","doi":"","title":"Border Crossing for Trucks Twenty Three Years after NAFTA","year":2023,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Welfare; Counterfactual thinking; Computable general equilibrium; Liberalization; Truck; Economic impact analysis; Cost–benefit analysis; Free trade agreement","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":[0.0009407462,0.0001601358,0.0001705972,0.0006553062,0.001799701,0.001736707,0.0003193123,0.0007251743,0.003488354],"category_scores_gemma":[0.003857232,0.0001128138,0.0003168339,0.001334739,0.0005269776,0.0008865277,0.0007600116,0.0007505825,0.0002984614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004716343,"about_ca_system_score_gemma":0.001985811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09558257,"about_ca_topic_score_gemma":0.2101321,"domain_scores_codex":[0.9995288,0.0001078102,0.00001402174,0.00005941901,0.0001347185,0.0001551489],"domain_scores_gemma":[0.9989105,0.0002950979,0.0002823133,0.00005426053,0.0003580638,0.00009968642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002258227,0.00119984,0.5533392,0.0005182165,0.0004477871,0.002976721,0.020126,0.01973684,0.004355013,0.06322131,0.05116342,0.2806574],"study_design_scores_gemma":[0.00008635606,0.001106329,0.7333063,0.0004231213,0.0002247125,0.0004081915,0.0391608,0.005777234,0.003701392,0.007575661,0.2081427,0.00008724619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721131,0.0007028024,0.0006928227,0.001495567,0.00006777186,0.00003510266,0.001193129,0.00001849563,0.02368118],"genre_scores_gemma":[0.982865,0.0009799171,0.0006347526,0.0002339553,0.000025087,0.00004469039,0.001541486,0.00001046299,0.01366472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9044175,"threshold_uncertainty_score":0.1900524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828311095438998,"score_gpt":0.312822278046,"score_spread":0.27453916709161,"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."}}