{"id":"W3125269410","doi":"","title":"Interprovincial Differences in GDP Per Capita, Labour Productivity and Work Intensity: 1990-2003","year":2005,"lang":"en","type":"article","venue":"","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Per capita; Economics; Productivity; Gross domestic product; Liberian dollar; Demographic economics; Real gross domestic product; Labour economics; Work (physics); Econometrics; Economic growth; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003046833,0.0001457738,0.0004884769,0.0002284758,0.00005749157,0.00007015942,0.0001312047,0.00007764242,0.001070699],"category_scores_gemma":[0.00007527039,0.0001414035,0.00006184744,0.0001708702,0.00009669656,0.0002783955,0.00008148052,0.0001478859,0.0007104533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039083,"about_ca_system_score_gemma":0.00002121826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005848959,"about_ca_topic_score_gemma":0.009214156,"domain_scores_codex":[0.9988326,0.00001188513,0.0004347349,0.0004721326,0.00002285976,0.0002258001],"domain_scores_gemma":[0.9995487,0.00002185336,0.0001403413,0.0001822325,0.00003489803,0.00007195375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003912164,0.00008602021,0.921343,0.000006881727,0.00003980902,0.0000013611,0.000532974,0.00001864828,0.000002624047,0.06993502,0.0007520682,0.007242455],"study_design_scores_gemma":[0.0003684692,0.00004226905,0.9595904,0.000008980153,0.000006185327,0.000003826695,0.0001562919,0.002692548,0.00002247215,0.01248441,0.02426772,0.0003564198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987587,0.0006760876,0.0007907873,0.004810348,0.0001620799,0.0001151406,0.00002012379,0.00001738546,0.005820992],"genre_scores_gemma":[0.988722,0.0001258804,0.0005388809,0.0005067938,0.0002419907,0.00001260062,0.000003892907,0.000009637925,0.009838287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05745061,"threshold_uncertainty_score":0.9998425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958653835289045,"score_gpt":0.1873902028209097,"score_spread":0.1678036644680193,"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."}}