{"id":"W3204821354","doi":"10.18632/aging.203563","title":"Sex, rurality and socioeconomical status in Spanish centennial population (2017)","year":2021,"lang":"en","type":"article","venue":"Aging","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Alberta; Alberta Health; Alberta Health Services","funders":"Canadian Institutes of Health Research; Austrian Science Fund; Ministerio de Ciencia, Innovación y Universidades; Vetenskapsrådet; “la Caixa” Foundation","keywords":"Centennial; Demography; Rurality; Longevity; Socioeconomic status; Population; Gross domestic product; Geography; Descriptive statistics; Socioeconomics; Life expectancy; Per capita; Rural area; Gerontology; Economic growth; Sociology; Medicine; Statistics; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310896,0.00006471681,0.0001908333,0.00002009778,0.0000539768,0.00001557953,0.00001480495,0.00004994943,0.00008664338],"category_scores_gemma":[0.0001037611,0.00006777955,0.00002817356,0.00003828189,0.00003660053,0.00007963812,0.0000311836,0.0001480942,0.000007659534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748933,"about_ca_system_score_gemma":0.0000866101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513062,"about_ca_topic_score_gemma":0.000782183,"domain_scores_codex":[0.9992216,0.00005490043,0.0002014485,0.000229052,0.00005984155,0.0002331173],"domain_scores_gemma":[0.9996127,0.00005456778,0.00003413903,0.0001483572,0.00002042514,0.0001298136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001830794,0.00004854467,0.9930733,0.0001010676,0.000004215528,0.00001980109,0.001062249,0.000001319029,0.0001041541,0.0003105969,0.00007988471,0.00517651],"study_design_scores_gemma":[0.0008096482,0.00001107461,0.9956822,0.00003223626,0.00001111276,0.00002335705,0.001041902,0.0005650471,0.00006589974,0.00119562,0.0004986922,0.00006323491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953985,0.0001974951,0.00003697417,0.002785549,0.0001256903,0.0001040191,0.000004326632,0.00002781635,0.001319668],"genre_scores_gemma":[0.9983969,0.00005468055,0.0003322038,0.0008546521,0.0001551151,0.000002247658,0.00006368056,0.000006511931,0.0001339726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005113275,"threshold_uncertainty_score":0.3799014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232001719269968,"score_gpt":0.3149066242017267,"score_spread":0.2917064522747299,"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."}}