{"id":"W2103032371","doi":"","title":"The Challenge of Total Factor Productivity","year":2000,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Production (economics); Economics; Multifactor productivity; Factor (programming language); Productivity model; Agricultural economics; Industrial organization; Operations management; Econometrics; Economic growth; Computer science; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01678883,0.001762636,0.002305497,0.00586728,0.002454545,0.0105097,0.003391942,0.003177384,0.007235613],"category_scores_gemma":[0.04351397,0.0005396046,0.001186078,0.008650992,0.01576082,0.02404204,0.006651915,0.009433419,0.002866279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006327827,"about_ca_system_score_gemma":0.005600041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238255,"about_ca_topic_score_gemma":0.004527847,"domain_scores_codex":[0.990772,0.002577973,0.0005273519,0.001712371,0.003923932,0.0004862937],"domain_scores_gemma":[0.9708265,0.0147479,0.001638748,0.003676035,0.00818425,0.0009264621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002148276,0.00001177189,0.0005820606,0.0002163549,0.00003632973,0.00002775085,0.0002374354,0.0009207763,0.00004992114,0.9414423,0.01507359,0.04138027],"study_design_scores_gemma":[0.000006281068,0.00001004726,0.000309318,0.0001071982,0.000005531738,0.0000305822,0.0001600972,0.0005282959,0.0000525772,0.9631819,0.03559797,0.00001024234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01472021,0.1682909,0.2205241,0.3230232,0.01189923,0.0001000319,0.002729309,0.0008086144,0.2579044],"genre_scores_gemma":[0.6234964,0.1677778,0.09154229,0.03387417,0.03461063,0.0004845806,0.001869264,0.001005362,0.04533954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01678883,"threshold_uncertainty_score":0.08878893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915030781666864,"score_gpt":0.2314896223902945,"score_spread":0.2023393145736259,"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."}}