{"id":"W7096286110","doi":"","title":"Price Convergence and Market Integration: Strong Evidence Using Canada Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unit root; Unemployment; Wage; Pace; Convergence (economics); Price setting; Point (geometry); Null hypothesis","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":[0.001597727,0.0002580758,0.0004947607,0.002140502,0.001411777,0.002287468,0.0008175222,0.0003953396,0.005237848],"category_scores_gemma":[0.009650868,0.0002191002,0.0006145586,0.006440366,0.0009125556,0.0007477279,0.0009838336,0.0008147559,0.0004796032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004968179,"about_ca_system_score_gemma":0.01062822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9613681,"about_ca_topic_score_gemma":0.9577563,"domain_scores_codex":[0.9986175,0.0001494802,0.00006950554,0.0002523676,0.00059617,0.0003149704],"domain_scores_gemma":[0.9901494,0.002569227,0.002104744,0.0008012762,0.00366488,0.0007104363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000157283,0.00004702156,0.9740866,0.00009957009,0.0002723376,0.0002939647,0.0006582006,0.001342339,0.0002834114,0.002389872,0.004176847,0.01619263],"study_design_scores_gemma":[0.00001297373,0.00002329169,0.987381,0.00005910591,0.0001458963,0.00006565861,0.001143159,0.003850341,0.0003757647,0.00032677,0.006590921,0.00002517784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681858,0.002578741,0.00161452,0.001508017,0.00003234367,0.00004117808,0.009579564,0.00007644895,0.01638346],"genre_scores_gemma":[0.993907,0.0007449515,0.0004398273,0.00009231809,0.00001471199,0.00000438082,0.003691728,0.00001608338,0.001089122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03863186,"threshold_uncertainty_score":0.07771868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2363539348272015,"score_gpt":0.2691934516663132,"score_spread":0.03283951683911171,"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."}}