{"id":"W3125488902","doi":"","title":"Drift and Breaks in Labour Productivity","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Productivity; Econometrics; Percentage point; Estimator; Quarter (Canadian coin); Monte Carlo method; Statistics; Mathematics; Macroeconomics; Geography","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":[0.01979896,0.000562715,0.001362968,0.002492928,0.0008156309,0.001904445,0.00166215,0.001429594,0.004391054],"category_scores_gemma":[0.07288342,0.0002982714,0.001738684,0.00272843,0.001405623,0.002217002,0.001847279,0.002026214,0.000528974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009201259,"about_ca_system_score_gemma":0.0004333734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003331073,"about_ca_topic_score_gemma":0.002373331,"domain_scores_codex":[0.9939439,0.002273276,0.0005269779,0.001525492,0.001164361,0.0005658966],"domain_scores_gemma":[0.9421607,0.0337349,0.01623007,0.005411199,0.001620595,0.0008425156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000960752,0.0002455121,0.8069997,0.0002026154,0.001623643,0.0007139635,0.00194524,0.032949,0.002238668,0.04090584,0.001880369,0.1093347],"study_design_scores_gemma":[0.0001510687,0.0008969503,0.7185996,0.0001396296,0.0003868986,0.0006027154,0.001203988,0.1781903,0.003731419,0.09192125,0.004003301,0.0001728161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130594,0.001103237,0.08063848,0.0004311993,0.00009651326,0.0001045633,0.001159717,0.0001465639,0.003260215],"genre_scores_gemma":[0.9910973,0.0001520086,0.006812156,0.00005213578,0.00004393653,0.00006882816,0.000810704,0.000020874,0.0009419931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01979896,"threshold_uncertainty_score":0.1047082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274643498919998,"score_gpt":0.2682450593654657,"score_spread":0.2354986243762657,"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."}}