{"id":"W6946044946","doi":"10.25673/108856","title":"Segregated by wealth, health, and development : an analysis of pre-school child health in a medium-sized German city","year":2023,"lang":"en","type":"article","venue":"Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt)","topic":"Health and Medical Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Socioeconomic status; German; Overweight; Logistic regression; Child health; Child development","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","bibliometrics","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics"],"category_scores_codex":[0.006518116,0.00142178,0.004189843,0.02790615,0.003118306,0.0002060787,0.001637167,0.001018845,0.001181531],"category_scores_gemma":[0.001034496,0.001356364,0.000481344,0.04348867,0.0007830911,0.002463583,0.0009804124,0.002641658,0.0003397748],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065707,"about_ca_system_score_gemma":0.008789284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0107976,"about_ca_topic_score_gemma":0.02424813,"domain_scores_codex":[0.9845213,0.002625228,0.003776364,0.002455467,0.002253373,0.004368246],"domain_scores_gemma":[0.9876972,0.002223834,0.002407508,0.001719242,0.0006578107,0.005294396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005546312,0.00423337,0.4435997,0.009640643,0.01048215,0.0004121312,0.1175424,0.0003584311,0.0000807477,0.001423827,0.238056,0.1686242],"study_design_scores_gemma":[0.01541493,0.002060822,0.6216008,0.002358081,0.0007259867,0.00003554139,0.02861396,0.003248227,0.00003210773,0.0003867953,0.3229445,0.00257827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936654,0.01536098,0.001561401,0.02508491,0.0008253807,0.006022768,0.002190058,0.001276197,0.01102428],"genre_scores_gemma":[0.937223,0.03691996,0.0009978694,0.01247311,0.0003945817,0.000303291,0.003384352,0.0003188166,0.007985072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1780011,"threshold_uncertainty_score":0.9998533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818236478562686,"score_gpt":0.3932429861073675,"score_spread":0.3550606213217407,"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."}}