{"id":"W4384500339","doi":"10.20944/preprints202307.1107.v1","title":"Determinants of Stunting among Children Under Five in Pakistan","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Logistic regression; Malnutrition; Socioeconomic status; Medicine; Environmental health; Public health; Cross-sectional study; Rural area; Demography; Developing country; Pediatrics; Population; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007539699,0.0004161799,0.0007641421,0.0005295521,0.00008599752,0.00004725079,0.0008863536,0.0004412986,0.0001643577],"category_scores_gemma":[0.0001426461,0.0004616468,0.0002764825,0.0003224733,0.0001662062,0.0001617619,0.002162875,0.001073886,0.0002720633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320058,"about_ca_system_score_gemma":0.00004006243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005589867,"about_ca_topic_score_gemma":0.001389958,"domain_scores_codex":[0.9966184,0.0002355817,0.001108141,0.00111315,0.0004193272,0.0005053265],"domain_scores_gemma":[0.9978912,0.0001442393,0.0005959981,0.001137406,0.0001180938,0.0001130341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001123897,0.0002107947,0.9964472,0.000348467,0.00004668272,0.00001551482,0.001644667,0.0006176936,0.000254169,0.00001171449,0.000031278,0.0002593992],"study_design_scores_gemma":[0.0009412477,0.00001403021,0.9532775,0.00137714,0.0000514111,0.000004094489,0.0001916453,0.0002270017,0.03988406,0.00359651,0.00001518368,0.0004201656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962775,0.00004925127,0.00001044781,0.0003001518,0.001158278,0.001140954,0.00008155863,0.0002523664,0.0007295011],"genre_scores_gemma":[0.9989154,0.00003922081,0.00005482235,0.00009467323,0.0002090172,0.00008579575,0.0001058447,0.0001013727,0.0003938796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04316972,"threshold_uncertainty_score":0.9997835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0956909503203304,"score_gpt":0.3902802240191361,"score_spread":0.2945892736988057,"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."}}