{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003091114,0.0004803585,0.001681111,0.001829749,0.0001254636,0.000246181,0.001214228,0.0006398723,0.0005881448],"category_scores_gemma":[0.0006712385,0.0005830513,0.0004052814,0.0003360095,0.0004335682,0.0002620407,0.001275643,0.002128979,0.000152031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001345,"about_ca_system_score_gemma":0.0004047198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00476879,"about_ca_topic_score_gemma":0.009762674,"domain_scores_codex":[0.9949053,0.0001714773,0.001801099,0.001993102,0.00009427902,0.001034763],"domain_scores_gemma":[0.9976325,0.0003089781,0.0006385489,0.001161853,0.00005974465,0.0001983441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001821598,0.0007012676,0.8609703,0.0001942074,0.0002732197,0.00007738825,0.001013338,0.005721124,0.000006716016,0.02093485,0.00007176031,0.1098537],"study_design_scores_gemma":[0.001529525,0.0001912968,0.6825524,0.0003567405,0.00001212902,0.00001448567,0.0005540916,0.07826084,0.00002651772,0.2070797,0.02742898,0.001993245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8596472,0.000457656,0.00005438088,0.001278926,0.0006629194,0.0006750359,0.0002508192,0.000028281,0.1369448],"genre_scores_gemma":[0.9883972,0.005021884,0.0001973294,0.00007417869,0.0005310584,0.0002914543,0.00005083735,0.000064008,0.005372061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1861449,"threshold_uncertainty_score":0.9996621,"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."}}