{"id":"W1575751323","doi":"","title":"El empleo rural no agrícola y la disminución de la pobreza rural ¿Qué sabemos en América Latina en 2010?","year":2011,"lang":"es","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001434358,0.0002261664,0.0002653712,0.0004877074,0.001351944,0.003182874,0.0004824067,0.0009784987,0.008437166],"category_scores_gemma":[0.002541098,0.000114823,0.0002457347,0.001384932,0.00201957,0.002248413,0.001523833,0.001561017,0.0007477643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120059,"about_ca_system_score_gemma":0.00325633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09707734,"about_ca_topic_score_gemma":0.1087185,"domain_scores_codex":[0.9994679,0.0001969226,0.0000104046,0.00006828803,0.00005714789,0.0001993836],"domain_scores_gemma":[0.9991856,0.0001845465,0.0001995087,0.00005691634,0.0002203807,0.000153063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005403145,0.0001632582,0.1110699,0.001162428,0.00009948511,0.002066702,0.05613627,0.001019371,0.001551091,0.3425269,0.123196,0.3604684],"study_design_scores_gemma":[0.00003126881,0.00005875961,0.08376764,0.0009656819,0.0000446584,0.0004133772,0.04439814,0.0003469581,0.000239633,0.01203054,0.857675,0.000028437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.435116,0.08959525,0.001745957,0.2375209,0.002268931,0.00003479882,0.001894578,0.0001377937,0.2316858],"genre_scores_gemma":[0.9176048,0.03933789,0.0007393435,0.002849306,0.000607712,0.00002722967,0.0004006547,0.00005054616,0.03838244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09707734,"threshold_uncertainty_score":0.1930246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769320040107637,"score_gpt":0.346888503781409,"score_spread":0.3191953033803326,"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."}}