{"id":"W2948679894","doi":"","title":"Aproximaciones al empleo con apoyo en Chile y Latinoamérica","year":2014,"lang":"es","type":"article","venue":"Revista Convergencia Educativa","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Political science; Economic growth; Development economics; Economics; Law","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":[0.001724933,0.0003321923,0.0003292334,0.001342789,0.001612268,0.002045561,0.0006478065,0.0008552045,0.00706311],"category_scores_gemma":[0.004444818,0.0001477908,0.0002342468,0.001214677,0.001850878,0.001352242,0.002519946,0.001347553,0.0004596633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003502725,"about_ca_system_score_gemma":0.006178969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0350135,"about_ca_topic_score_gemma":0.04099655,"domain_scores_codex":[0.9993963,0.0002568205,0.00004117676,0.0000525931,0.0001030093,0.0001499453],"domain_scores_gemma":[0.9984785,0.0006115922,0.0002606459,0.00004535904,0.0004092703,0.0001947113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005893745,0.001014123,0.1331148,0.004530929,0.00009211787,0.009153264,0.1718621,0.0005477169,0.002959121,0.03847254,0.02964773,0.6080161],"study_design_scores_gemma":[0.0001543816,0.0004814396,0.1515798,0.006571767,0.0001285076,0.002335556,0.2569386,0.0003607808,0.00101748,0.004665014,0.5756861,0.00008066442],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884063,0.07566269,0.0009875934,0.02853715,0.0008836085,0.0001762284,0.0005049965,0.00008755687,0.1047539],"genre_scores_gemma":[0.9196736,0.05714181,0.00102485,0.001880618,0.0003872662,0.000222982,0.0002581715,0.00001903289,0.01939167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0350135,"threshold_uncertainty_score":0.06961942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727733963389873,"score_gpt":0.3187280914048291,"score_spread":0.3014507517709303,"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."}}