{"id":"W3091860498","doi":"","title":"Rotación ocupacional y calidad del empleo","year":2020,"lang":"es","type":"article","venue":"Desarrollo Económico","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Quarter (Canadian coin); Wage; Demographic economics; Welfare economics; Geography; Economics; Labour economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005348119,0.0003293595,0.0005047469,0.000083737,0.000531833,0.0007700648,0.0004962011,0.0002860911,0.001433764],"category_scores_gemma":[0.0001542924,0.0003624007,0.0003761856,0.0004857435,0.0002870033,0.001575508,0.00005518149,0.0003079568,0.003988831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083149,"about_ca_system_score_gemma":0.0003093271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001297859,"about_ca_topic_score_gemma":0.0000907766,"domain_scores_codex":[0.9975864,0.0001761248,0.000718087,0.0004927571,0.0003723206,0.0006543505],"domain_scores_gemma":[0.99874,0.0001792433,0.000230247,0.0001929937,0.00008884422,0.0005686454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006509969,0.0005966655,0.1398335,0.0004545651,0.0006077912,0.00007365949,0.04670563,0.001129908,0.0002422836,0.5862802,0.03123602,0.1921887],"study_design_scores_gemma":[0.001429621,0.0002487146,0.005378054,0.00007812234,0.00008201673,0.000004886411,0.002789116,0.002850987,0.0003858618,0.003659731,0.9823089,0.0007840414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6847922,0.0004616007,0.001222721,0.04011448,0.0008432097,0.0007746881,0.0004391528,0.0002745192,0.2710774],"genre_scores_gemma":[0.9926353,0.0002656589,0.0002032523,0.005339194,0.000816251,0.00002537067,0.00008531388,0.00003089668,0.0005987424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9510728,"threshold_uncertainty_score":0.9998828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647079685746504,"score_gpt":0.2746728990072969,"score_spread":0.2482021021498318,"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."}}