{"id":"W1605371586","doi":"10.2139/ssrn.1427377","title":"Interprovincial Differences in GDP Per Capita, Labour Productivity and Work Intensity: 1990-2003","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Per capita; Economics; Demographic economics; Labour economics; Work Intensity; Gross domestic product; Work (physics); R&D intensity; Demography; Economic growth; Population; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264398,0.0001724341,0.0005010209,0.0003018673,0.0001281255,0.00009498048,0.0002039152,0.00008760858,0.0001840606],"category_scores_gemma":[0.00009363036,0.0001693058,0.00009837416,0.0001908462,0.00008709196,0.0003571746,0.00005665259,0.001040675,0.000241638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008132124,"about_ca_system_score_gemma":0.0003112835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929181,"about_ca_topic_score_gemma":0.01846892,"domain_scores_codex":[0.997963,0.00002741724,0.0005305463,0.0003803296,0.0000411703,0.001057499],"domain_scores_gemma":[0.9994138,0.00001951405,0.0002892982,0.0001427424,0.00005184892,0.00008275153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001051836,0.0001094,0.6777226,0.000004575187,0.0001603753,0.000002162362,0.0005487433,0.00003819627,0.00000465024,0.2989641,0.0001192559,0.02222074],"study_design_scores_gemma":[0.001208558,0.0002789857,0.4646288,0.0000263858,0.0000275911,0.0001947572,0.001002091,0.001481303,0.00001344628,0.5148004,0.01563967,0.0006980403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986596,0.005737127,0.001935078,0.004786102,0.0001893811,0.00008929223,0.000008512026,0.000009401581,0.0006490655],"genre_scores_gemma":[0.9919807,0.002720831,0.0001002657,0.0001988774,0.0005575828,0.000005780012,0.000002084101,0.00001480399,0.004419057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2158362,"threshold_uncertainty_score":0.9994414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107111151190812,"score_gpt":0.1856057119653211,"score_spread":0.1745346004534129,"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."}}