{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003976011,0.0001099044,0.0001401235,0.0001476743,0.0006303832,0.00005576977,0.0002736461,0.00004215082,0.00002456937],"category_scores_gemma":[0.000142478,0.00009740871,0.0000477664,0.0003796306,0.00002593185,0.000185024,0.0001553171,0.00011055,9.383895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007607833,"about_ca_system_score_gemma":0.0000502152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004633681,"about_ca_topic_score_gemma":0.000006454844,"domain_scores_codex":[0.9987637,0.0002283877,0.0002924698,0.0002821203,0.0002722757,0.000161002],"domain_scores_gemma":[0.999306,0.0001372686,0.0001566918,0.0002526103,0.0000815724,0.0000658619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01208122,0.002063238,0.907454,0.0002559659,0.00009989681,0.000001647879,0.02076903,0.0001177773,0.005587477,0.0001418107,0.02532865,0.02609933],"study_design_scores_gemma":[0.001037356,0.0001874317,0.8929092,0.000008579012,0.0000531047,0.00001196203,0.0001655173,0.00006766285,0.09577943,0.0001787538,0.009373263,0.0002277241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950883,0.00002381978,0.0001148434,0.003068352,0.0004597338,0.0009608844,0.0002262525,0.00004136758,0.00001638702],"genre_scores_gemma":[0.9977068,0.000002627613,0.001314135,0.0003984851,0.0001913992,0.0001299774,0.0002181747,0.0000190275,0.00001935745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09019195,"threshold_uncertainty_score":0.4848461,"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."}}