{"id":"W1501458567","doi":"10.15517/rce.v32i1.15050","title":"Movilidad del ingreso en Costa Rica, 2001–2007","year":2014,"lang":"es","type":"article","venue":"Revista de Ciencias Económicas","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005047395,0.0002184359,0.0001912713,0.0007354117,0.0003885062,0.0005673568,0.0004307946,0.0001988641,0.001023546],"category_scores_gemma":[0.0009680266,0.0000885163,0.0002255458,0.001731202,0.0002179412,0.0002429916,0.0006339892,0.0002741497,0.0001758128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074572,"about_ca_system_score_gemma":0.0007421782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3189969,"about_ca_topic_score_gemma":0.3385484,"domain_scores_codex":[0.9998478,0.00003919801,0.00001261105,0.00002736117,0.00002668823,0.00004627599],"domain_scores_gemma":[0.9994653,0.00005364306,0.0002764735,0.00004507942,0.000119204,0.00004040299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008121381,0.00004592398,0.9515526,0.0001483445,0.0001530077,0.0003401059,0.002966491,0.001731356,0.000466975,0.0007742717,0.004878076,0.03686149],"study_design_scores_gemma":[0.00000240843,0.00001002216,0.9918503,0.00001780197,0.00002062549,0.00008011286,0.0007159214,0.0004803463,0.0001033948,0.00003156128,0.006682403,0.000004996116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871216,0.001746569,0.0002283324,0.000512991,0.000009895206,0.00002163836,0.005184641,0.00003677493,0.005137589],"genre_scores_gemma":[0.9928411,0.001087285,0.000247109,0.00008415498,0.00001461471,0.00002654565,0.002954715,0.000005949931,0.002738556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189969,"threshold_uncertainty_score":0.6342803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262474229085047,"score_gpt":0.2465403721091451,"score_spread":0.2339156298182946,"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."}}