{"id":"W1509835223","doi":"","title":"Differences in annual work hours per capita between the United States and Canada / Différences dans les heures annuelles travaillées par habitant entre les Etats-Unis et le Canada","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Productivity; Geography; Gross domestic product; Demographic economics; Political science; Economics; Welfare economics; Demography; Economic growth; Sociology; Population","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":[0.002117503,0.0007895153,0.001802647,0.0006939421,0.0008678369,0.0004063036,0.001370225,0.0005005819,0.0003138264],"category_scores_gemma":[0.0003408633,0.0007688169,0.0002416675,0.0003403874,0.001728378,0.0002195679,0.0005687539,0.001998131,0.000005010126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052926,"about_ca_system_score_gemma":0.003186514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952537,"about_ca_topic_score_gemma":0.9993473,"domain_scores_codex":[0.9939309,0.0008347584,0.001940941,0.001643933,0.0002340157,0.001415433],"domain_scores_gemma":[0.9952543,0.00258289,0.0008219797,0.0008132473,0.0001425435,0.0003849722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004939783,0.0001006063,0.9543561,0.000077039,0.0004913904,0.00003779424,0.003672275,0.02478104,3.766506e-7,0.002981971,0.001008752,0.01244322],"study_design_scores_gemma":[0.000567415,0.0000703891,0.8909238,0.0002103994,0.00003001546,0.00000524522,0.03868797,0.004092291,0.000005202177,0.001257743,0.0632384,0.0009111479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712433,0.006136571,0.00001056775,0.0126727,0.0003525846,0.0005770945,0.003189154,0.000009405951,0.005808661],"genre_scores_gemma":[0.9013003,0.09447017,0.00008347078,0.0002416318,0.0001154031,0.0001224832,0.0003680729,0.00006816098,0.003230362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08833361,"threshold_uncertainty_score":0.9994763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509626862164588,"score_gpt":0.2287052426356235,"score_spread":0.2036089740139776,"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."}}