{"id":"W4280503638","doi":"10.6000/1929-4247.2022.11.02.5","title":"Validation of MUAC Cut-Offs of WHO for Diagnosis of Acute Malnutrition among Children under 5 Years in Karachi, Pakistan","year":2022,"lang":"en","type":"article","venue":"International Journal of Child Health and Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Youden's J statistic; Anthropometry; Malnutrition; Receiver operating characteristic; Severe Acute Malnutrition; Pediatrics; Standard score; Internal medicine; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005670258,0.0004690755,0.0003151691,0.001196246,0.000380881,0.0006150259,0.0006249829,0.0005342272,0.000861838],"category_scores_gemma":[0.01153743,0.0002508847,0.0004777559,0.000588214,0.0003471546,0.0004144137,0.0006625029,0.0005012283,0.0003882909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599607,"about_ca_system_score_gemma":0.001049113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017752,"about_ca_topic_score_gemma":0.01012383,"domain_scores_codex":[0.9969566,0.001127302,0.0004311567,0.0003710956,0.0008076587,0.0003061079],"domain_scores_gemma":[0.9948114,0.001632916,0.001342005,0.0001900117,0.001696561,0.0003271574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168012,0.00006054998,0.9928583,0.00003959937,0.00003012403,0.0000603539,0.0002319963,0.0001452079,0.0003167259,0.00003024661,0.0003746621,0.005635475],"study_design_scores_gemma":[0.00003834249,0.0004132552,0.9964579,0.00006304809,0.00002730578,0.0002949598,0.0005105175,0.0008343886,0.0005166437,0.00003148801,0.0008036521,0.000008496158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953016,0.0003356545,0.0009016065,0.0001522373,0.00005806439,0.000136004,0.001234652,0.00002340402,0.001856719],"genre_scores_gemma":[0.9955052,0.0001263554,0.002721407,0.00005883026,0.00001374314,0.0001378596,0.001241817,0.000003210157,0.0001915113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008017752,"threshold_uncertainty_score":0.02998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373814307491444,"score_gpt":0.3288255109944846,"score_spread":0.3150873679195702,"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."}}