{"id":"W3157851609","doi":"10.1111/pai.13530","title":"Decision tree‐based rules outperform risk scores for childhood asthma prognosis","year":2021,"lang":"en","type":"article","venue":"Pediatric Allergy and Immunology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"Canadian Institutes of Health Research; Reseau canadien de recherche respiratoire; Canadian Lung Association; Agency for Healthcare Research and Quality; British Columbia Lung Association; Manitoba Medical Service Foundation; Heart and Stroke Foundation of Canada","keywords":"Medicine; Asthma; Decision tree; MEDLINE; Machine learning; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01500699,0.001858301,0.002187171,0.002975286,0.000475451,0.003144001,0.001283318,0.001230773,0.002713562],"category_scores_gemma":[0.06662583,0.0004066188,0.002310565,0.001884562,0.0004809861,0.002087329,0.001062587,0.002268575,0.0009126694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037691,"about_ca_system_score_gemma":0.001974157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006378147,"about_ca_topic_score_gemma":0.004605317,"domain_scores_codex":[0.9905092,0.004791242,0.001215381,0.001428413,0.001693424,0.0003623245],"domain_scores_gemma":[0.9272759,0.06094069,0.004413855,0.001837545,0.004705923,0.0008260865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003237995,0.0007256742,0.198854,0.001202527,0.002193135,0.0005124251,0.0003146378,0.3906043,0.001039032,0.007679863,0.00971518,0.3839213],"study_design_scores_gemma":[0.000291513,0.0008461144,0.01725313,0.0006079235,0.0008534127,0.000383081,0.0001212725,0.9479997,0.001625531,0.02643838,0.003469562,0.0001104421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.38977,0.01114609,0.5732198,0.003249119,0.0009307553,0.001313971,0.006798712,0.002851889,0.01071963],"genre_scores_gemma":[0.8753343,0.001797213,0.1167389,0.0005234601,0.0002495731,0.0003155044,0.00419636,0.00009341238,0.0007511844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01500699,"threshold_uncertainty_score":0.07936549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008271307725540975,"score_gpt":0.2418132059302805,"score_spread":0.2335418982047395,"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."}}