{"id":"W1500333154","doi":"","title":"Differences in Interprovincial Productivity Levels","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Order (exchange); Economics; Demographic economics; Geography; Economic geography; Agricultural economics; Economy; Economic growth","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":[0.000660529,0.0001608873,0.0002289679,0.001576323,0.0004146166,0.000889373,0.0004441366,0.00009707707,0.005589617],"category_scores_gemma":[0.003472434,0.0001165227,0.0003130313,0.003648564,0.0002283849,0.0003153085,0.0005820537,0.0002969976,0.0007500934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003434053,"about_ca_system_score_gemma":0.002769348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5989783,"about_ca_topic_score_gemma":0.6991106,"domain_scores_codex":[0.9989417,0.00008415574,0.00004720439,0.0001522401,0.0004321924,0.0003426307],"domain_scores_gemma":[0.9970917,0.0005376889,0.0005476944,0.0002145452,0.001354956,0.0002535065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001471287,0.00003287867,0.9440282,0.0000475029,0.0001416739,0.00009430957,0.0008678057,0.003312113,0.001842784,0.005876559,0.0008848571,0.04272418],"study_design_scores_gemma":[0.000002998995,0.00001851645,0.9942757,0.000007831105,0.00001769158,0.00004225558,0.0006530671,0.001841738,0.0005969859,0.0003803895,0.002154532,0.000008179752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974887,0.0002441831,0.002452988,0.0001367313,0.000007017371,0.00001740251,0.003319349,0.0000628884,0.01887251],"genre_scores_gemma":[0.9942715,0.0001216435,0.000826608,0.000007968462,0.000002170822,0.000004424666,0.00141986,0.000009178155,0.003336806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4010217,"threshold_uncertainty_score":0.8067667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08667779488549468,"score_gpt":0.2931233440409701,"score_spread":0.2064455491554754,"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."}}