{"id":"W2931615995","doi":"10.1111/apa.14778","title":"Socioeconomic adversity: making sense of measures used for child health research","year":2019,"lang":"en","type":"editorial","venue":"Acta Paediatrica","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Poverty; Medicine; Population; Environmental health; Economic growth; Economics","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","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007682528,0.0004423579,0.001531186,0.000756581,0.001891777,0.00002011984,0.0006508712,0.001786616,0.0001299023],"category_scores_gemma":[0.00306979,0.0004344253,0.0004483865,0.0003101376,0.0001164488,0.0001215474,0.0004621032,0.005373174,0.0003619085],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748182,"about_ca_system_score_gemma":0.01020508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005170488,"about_ca_topic_score_gemma":0.0003407817,"domain_scores_codex":[0.9922556,0.002037409,0.001510189,0.0009563983,0.001367291,0.001873062],"domain_scores_gemma":[0.9832647,0.01278977,0.001690145,0.0009970032,0.0008938151,0.000364517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002793753,0.0001164712,0.001605278,0.005230526,0.00007520428,0.000001253867,0.002961229,0.000001272527,0.000003411986,0.00007457409,0.98892,0.0007313942],"study_design_scores_gemma":[0.002577094,0.0003143852,0.0006588631,0.001255227,0.00006043764,2.852447e-7,0.001510598,0.00001032071,0.000001277777,0.0001101282,0.9931718,0.000329605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003457666,0.003101321,0.00003632847,0.01194478,0.9684404,0.00701954,0.00380034,0.0001733349,0.002026356],"genre_scores_gemma":[0.07639258,0.004580911,0.0001891399,0.0009559373,0.9151278,0.00003373404,0.0009517046,0.0001855818,0.001582616],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07293491,"threshold_uncertainty_score":0.9998108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09750177446800591,"score_gpt":0.4537705453425417,"score_spread":0.3562687708745358,"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."}}