{"id":"W3121866546","doi":"","title":"Understanding Productivity: A Primer","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Productivity; Relevance (law); Simple (philosophy); Computer science; Wish; Economics; Political science; Epistemology; Sociology; Economic growth; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003686679,0.001651833,0.001036631,0.006349472,0.00292505,0.009796427,0.002513107,0.003954367,0.015374],"category_scores_gemma":[0.008816991,0.0006067433,0.000994134,0.008261165,0.01106598,0.01659635,0.003142976,0.006569202,0.004527258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009735906,"about_ca_system_score_gemma":0.004876956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202151,"about_ca_topic_score_gemma":0.009861434,"domain_scores_codex":[0.997982,0.0008434661,0.0001313177,0.0003324769,0.0004385968,0.0002720537],"domain_scores_gemma":[0.9952024,0.003478356,0.0002787342,0.0002304871,0.0005590757,0.0002510315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004284748,0.00001151023,0.0002177568,0.0001293305,0.000004916931,0.00003944621,0.001127598,0.0004150578,0.00004348392,0.9718916,0.01092291,0.01519222],"study_design_scores_gemma":[0.000002533778,0.000007945748,0.0003132625,0.0003740665,0.000003574775,0.00006311653,0.0006785964,0.0003737698,0.00005362022,0.7246568,0.273462,0.00001063201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005154629,0.2198634,0.2243433,0.2052706,0.006574227,0.0001280362,0.001279697,0.0003840828,0.3370021],"genre_scores_gemma":[0.3151432,0.4041124,0.1092955,0.03547825,0.02436043,0.0007752873,0.001505089,0.000840755,0.108489],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0202151,"threshold_uncertainty_score":0.07063931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463073587274919,"score_gpt":0.3177568278518454,"score_spread":0.1714494691243535,"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."}}