{"id":"W4280570738","doi":"10.1111/apa.16410","title":"Development and an initial validation of the Responses to Illness Severity Quantification (RISQ) score for severely malnourished children","year":2022,"lang":"en","type":"article","venue":"Acta Paediatrica","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; University Health Network; SickKids Foundation; Centre for Global Health Research; Hospital for Sick Children; Public Safety Canada","funders":"Sickkids Research Institute; Hospital for Sick Children; World Health Organization","keywords":"Medicine; Severity of illness; Illness severity; Intensive care medicine; Pediatrics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01068024,0.000757145,0.0004654768,0.0012344,0.0004797289,0.0006747723,0.0006840609,0.0005790272,0.001283271],"category_scores_gemma":[0.01849477,0.0002627384,0.0007545628,0.0006420806,0.0006328684,0.0007102861,0.001021677,0.0008899673,0.0004901703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079951,"about_ca_system_score_gemma":0.00147794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271766,"about_ca_topic_score_gemma":0.002584905,"domain_scores_codex":[0.9954692,0.002441222,0.0005986957,0.0003030988,0.0009421259,0.0002456679],"domain_scores_gemma":[0.9926899,0.002538525,0.001042905,0.0003988154,0.002910853,0.0004189771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000732908,0.0007091559,0.960274,0.0001611441,0.00007765891,0.0001052722,0.0008966469,0.0008104331,0.002241253,0.000296086,0.0009124518,0.03278286],"study_design_scores_gemma":[0.0001471791,0.003756777,0.9860731,0.0001134074,0.00004298755,0.0002760864,0.001163694,0.003292472,0.002489721,0.0001683312,0.002453521,0.00002272904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9917448,0.0001308406,0.003295327,0.000122656,0.00005103584,0.001889894,0.001073063,0.00002507659,0.001667235],"genre_scores_gemma":[0.9809631,0.0001205712,0.01413219,0.00005542847,0.00001822181,0.002102424,0.002096351,0.0000138,0.0004978207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01068024,"threshold_uncertainty_score":0.05648321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198398217584036,"score_gpt":0.2973573608665979,"score_spread":0.2653733786907576,"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."}}