{"id":"W7155585854","doi":"","title":"Median labor income in Chile revised: Insights from Distributional National Accounts","year":2024,"lang":"en","type":"other","venue":"Scientific Electronic Library Online (Scientific Electronic Library Online)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Median income; Quarter (Canadian coin); National accounts; Socioeconomic status; Adjusted gross income; Income distribution; Household income; National Income and Product Accounts","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":[0.001968662,0.000239204,0.0003261832,0.00468985,0.0007111636,0.002776194,0.0007360647,0.0002413738,0.007864137],"category_scores_gemma":[0.01059352,0.0001844373,0.0003348013,0.009607283,0.0006359699,0.003016978,0.002321036,0.0007260875,0.0008424384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003516599,"about_ca_system_score_gemma":0.001418638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05530168,"about_ca_topic_score_gemma":0.0303163,"domain_scores_codex":[0.9990509,0.0003291607,0.00006925081,0.0001109249,0.0003053759,0.0001344662],"domain_scores_gemma":[0.9963443,0.001123921,0.0007680029,0.0003370659,0.001291107,0.0001357096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548145,0.0000838976,0.723618,0.0004244302,0.0001882669,0.0005609624,0.007863995,0.006321079,0.0001021347,0.102756,0.05463726,0.1032891],"study_design_scores_gemma":[0.00002019796,0.00005203801,0.7385775,0.0008614056,0.00006337457,0.0003466474,0.02305765,0.01972702,0.0003599626,0.05033364,0.1665215,0.0000790972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.76218,0.005998166,0.006870628,0.009139009,0.0002015501,0.0001283081,0.044216,0.0002013115,0.171065],"genre_scores_gemma":[0.979525,0.001887194,0.001754152,0.0001387356,0.00009404756,0.00008790055,0.01152078,0.00004856506,0.004943584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05530168,"threshold_uncertainty_score":0.1099596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471746518813396,"score_gpt":0.2482927982530551,"score_spread":0.2398210517342417,"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."}}