{"id":"W1501352882","doi":"","title":"Can Measurement Error Explain the Weakness of Productivity Growth in the Canadian Construction Industry","year":2007,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Econometrics; Multifactor productivity; Observational error; Labour economics; Total factor productivity; Macroeconomics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03301023,0.0001143671,0.0001913126,0.000979077,0.0003910844,0.000157401,0.0009642424,0.0001397375,0.00009785696],"category_scores_gemma":[0.002447629,0.00007356399,0.00005280481,0.00127051,0.0006861828,0.0002405913,0.0001138958,0.0009492958,0.000004912866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007154584,"about_ca_system_score_gemma":0.0008689538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02631436,"about_ca_topic_score_gemma":0.7587713,"domain_scores_codex":[0.9967481,0.0005418755,0.0006604433,0.0004238221,0.001082189,0.0005435413],"domain_scores_gemma":[0.9980298,0.0006873437,0.0001755622,0.0006710436,0.0003435162,0.00009269888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006518065,0.00003909341,0.4955478,0.00001008147,0.00001309653,0.000006875262,0.001866,0.0002470955,0.00004490864,0.00656961,0.0001396876,0.4954505],"study_design_scores_gemma":[0.0007334432,0.00008480353,0.8995346,0.0000496481,0.000005134416,0.00004967228,0.04552167,0.001123264,0.001199942,0.009363422,0.04206185,0.0002725315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148694,0.00001427185,0.000003637288,0.005543177,0.00036081,0.0006061448,0.000006543942,0.000004912836,0.07859107],"genre_scores_gemma":[0.9993887,0.00005127607,0.00006187893,0.00008451345,0.00009493069,0.00003999151,0.000001066284,0.000006607217,0.0002710511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324569,"threshold_uncertainty_score":0.9957195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1427716222326515,"score_gpt":0.3714841511169477,"score_spread":0.2287125288842962,"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."}}