{"id":"W2236157382","doi":"10.5539/sar.v5n1p38","title":"Growth in Total Factor Productivity in the Egyptian Agriculture Sector: Growth Accounting and Econometric Assessments of Sources of Growth","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic Research Service; U.S. Department of Agriculture","keywords":"Total factor productivity; Agriculture; Agricultural productivity; Productivity; Economics; Agricultural economics; Growth accounting; Technical change; Economic growth; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003291387,0.0002803933,0.0007107698,0.001312766,0.0001633373,0.0001223221,0.0006540324,0.0002682704,0.00004705446],"category_scores_gemma":[0.001566192,0.0001647582,0.0001256355,0.002785082,0.0002817516,0.001074634,0.0003259961,0.0005887958,0.00001423207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418633,"about_ca_system_score_gemma":0.00007781461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784222,"about_ca_topic_score_gemma":0.0002525806,"domain_scores_codex":[0.996897,0.0002242091,0.000908808,0.0007368214,0.0001903536,0.001042796],"domain_scores_gemma":[0.998214,0.0005868337,0.0004337226,0.0002999972,0.0003612577,0.0001041769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005098066,0.0003726737,0.8222083,0.0008231195,0.00005430719,0.00001480483,0.00195739,0.000004655018,0.0004446351,0.1728292,0.001053413,0.0001865768],"study_design_scores_gemma":[0.0009232589,0.0002150409,0.9232025,0.00007279236,0.000003935668,0.00001314764,0.004562524,0.0000122315,0.002462457,0.06774978,0.0004867591,0.0002955656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776086,0.0009760817,0.00001190994,0.002445712,0.00005258025,0.0008045167,0.0001181365,0.00001130022,0.01797113],"genre_scores_gemma":[0.9984862,0.0002194364,0.00003355623,0.00002525533,0.0001935782,0.00008878611,0.000007609196,0.00001903286,0.0009265288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1050794,"threshold_uncertainty_score":0.7232344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698616295720944,"score_gpt":0.2736895805826366,"score_spread":0.2367034176254272,"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."}}