{"id":"W2102401640","doi":"","title":"Productivity to Reduce Poverty: Study of a Micro-Level Institution in Peru","year":2004,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Productivity; Poverty; Institution; Economics; Order (exchange); Development economics; Economic growth; Public economics; Sociology; Social science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008902348,0.000198143,0.0003001149,0.001345919,0.002971408,0.002117418,0.0005844649,0.0006745061,0.002851356],"category_scores_gemma":[0.00359486,0.0001919151,0.0001779671,0.00146344,0.002013146,0.00111763,0.003373767,0.0008452872,0.0002216329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855025,"about_ca_system_score_gemma":0.00147211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035221,"about_ca_topic_score_gemma":0.01986089,"domain_scores_codex":[0.9992003,0.0004513616,0.00001104162,0.0000430571,0.00005929953,0.0002349638],"domain_scores_gemma":[0.9986712,0.0004831457,0.0003600058,0.00004575861,0.0001705767,0.0002693048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00022496,0.002123338,0.4342507,0.0004994757,0.000115542,0.004478982,0.4431063,0.0009846508,0.002673589,0.02854677,0.003093041,0.07990263],"study_design_scores_gemma":[0.00002936519,0.0008832677,0.5383072,0.0002044892,0.0000508842,0.0007453233,0.4225389,0.001234189,0.0006164219,0.004951672,0.03041289,0.00002531625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916467,0.0003268362,0.0002462409,0.000684791,0.000002889203,0.0000254155,0.00001841102,0.000004524172,0.007044265],"genre_scores_gemma":[0.9981778,0.0004715007,0.0001835173,0.00008443846,0.000006927054,0.00003060659,0.0000151179,0.000002412177,0.001027753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035221,"threshold_uncertainty_score":0.02058387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684111672440781,"score_gpt":0.277672506398831,"score_spread":0.2408313896744231,"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."}}