{"id":"W2145830380","doi":"","title":"An Analysis of the Causes of Weak Labour Productivity Growth in Canada since 2000","year":2008,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Labour economics; Convergence (economics); Multifactor productivity; Total factor productivity; Agricultural economics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008902831,0.00043315,0.0004148704,0.006029254,0.005100491,0.00293911,0.001188324,0.0005544379,0.003359052],"category_scores_gemma":[0.004337202,0.0003096448,0.0006753654,0.01466346,0.0009939891,0.000724584,0.001519995,0.001374706,0.0004192743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06181423,"about_ca_system_score_gemma":0.09284033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934825,"about_ca_topic_score_gemma":0.9956222,"domain_scores_codex":[0.9979045,0.00004239124,0.00008065015,0.0001297131,0.00087032,0.0009723984],"domain_scores_gemma":[0.9932065,0.0002594547,0.0009991692,0.0001000662,0.004450055,0.0009848166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001116412,0.00004361553,0.9036592,0.0002850814,0.0001289894,0.000831964,0.003709998,0.001262576,0.0004351503,0.009098697,0.02586524,0.05456789],"study_design_scores_gemma":[0.000003543392,0.00001045097,0.9769678,0.0001280734,0.00003494766,0.00009845362,0.004142561,0.000576844,0.0002032699,0.0002534498,0.01755714,0.00002344731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856111,0.008883906,0.0005370826,0.01395026,0.0002034182,0.0001080896,0.02319274,0.0001185392,0.06739492],"genre_scores_gemma":[0.9742837,0.006842864,0.0002855871,0.0005785272,0.00005164373,0.00003017829,0.008090598,0.00002869728,0.009808247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06181423,"threshold_uncertainty_score":0.4484957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201334837403765,"score_gpt":0.2136173646838792,"score_spread":0.1934838809435027,"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."}}