{"id":"W2153136367","doi":"","title":"Lessons for Canada from International Productivity Experience","year":2006,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Multifactor productivity; Perspective (graphical); Regional science; Economic growth; International trade; Total factor productivity; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005017761,0.0002763772,0.0003889255,0.0001618512,0.0001928412,0.0001649515,0.0007377068,0.00009137745,0.0002887608],"category_scores_gemma":[0.0007582614,0.0003457918,0.0001371518,0.0001248264,0.0001164409,0.0009575147,0.0001442863,0.0002154403,0.00007451442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006806646,"about_ca_system_score_gemma":0.0001440307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3423185,"about_ca_topic_score_gemma":0.09502824,"domain_scores_codex":[0.9975129,0.00002403811,0.0006409909,0.001286272,0.00014362,0.0003921642],"domain_scores_gemma":[0.998507,0.0001427142,0.0004862708,0.0005752397,0.0002012181,0.00008752023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005162934,0.00155851,0.7354758,0.00005067452,0.0005972003,0.00001617639,0.0006472968,0.001579313,0.006915912,0.16509,0.07371124,0.01384161],"study_design_scores_gemma":[0.0008831364,0.00003304797,0.3129661,0.00001409495,0.000009363632,0.000009597658,0.00007081139,0.001702692,0.02202648,0.06418081,0.5973859,0.0007179472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297225,0.0003604425,0.003707764,0.03602276,0.01585783,0.0005550175,0.003109607,0.00008356856,0.01058051],"genre_scores_gemma":[0.9854161,0.00001026714,0.0016584,0.00009817332,0.007292029,0.0002418209,0.0003020761,0.00003886548,0.004942295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236747,"threshold_uncertainty_score":0.9998994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028454112393136,"score_gpt":0.2429041295443122,"score_spread":0.2126195884203808,"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."}}