{"id":"W3121873723","doi":"","title":"Producing Hours Worked for the SNA in Order to Measure Productivity: The Canadian Experience","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Unit (ring theory); Tourism; Compensation (psychology); National accounts; Order (exchange); Measure (data warehouse); Economics; Labour economics; Econometrics; Geography; Computer science; Accounting; Mathematics; Economic growth; Finance","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":[0.003738097,0.0005675309,0.0004691728,0.004582841,0.00327035,0.002532444,0.001300321,0.0003374168,0.006124856],"category_scores_gemma":[0.008428574,0.0002494593,0.000472909,0.01521423,0.0009280201,0.0009511409,0.0009950654,0.0007094659,0.001073537],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05425663,"about_ca_system_score_gemma":0.04812361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947734,"about_ca_topic_score_gemma":0.995356,"domain_scores_codex":[0.9964444,0.0003160122,0.0001468613,0.0003588638,0.002294526,0.0004392889],"domain_scores_gemma":[0.9911539,0.0006546732,0.0003502335,0.0003333857,0.006942268,0.0005655985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003268699,0.0001228872,0.1728296,0.00103347,0.0001118412,0.0002780527,0.02445208,0.007389561,0.002060771,0.03052746,0.07185202,0.6890155],"study_design_scores_gemma":[0.00001953787,0.00007173049,0.493505,0.0004583876,0.00004916691,0.0001285125,0.01277923,0.003327391,0.001937729,0.001321454,0.4862655,0.0001363435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6232356,0.02565354,0.02362786,0.0108051,0.001116431,0.0003926356,0.04796874,0.0005556819,0.2666444],"genre_scores_gemma":[0.870632,0.0206001,0.02033626,0.0005475997,0.00013607,0.0001070203,0.01136711,0.0003539539,0.07591994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9457434,"threshold_uncertainty_score":0.3936613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08169112292815145,"score_gpt":0.2982424586798708,"score_spread":0.2165513357517193,"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."}}