{"id":"W4294243279","doi":"10.23889/ijpds.v7i3.1952","title":"Prediction of Asthma Risk Using Family Health Histories identified from Population-based Electronic Healthcare Records.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Asthma; Medicine; Offspring; Interquartile range; Cohort; Population; Family history; Receiver operating characteristic; Pediatrics; Demography; Internal medicine; Environmental health; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003135802,0.0007039037,0.0004210801,0.001312691,0.0002581543,0.0006921451,0.0005859939,0.0004142435,0.001045876],"category_scores_gemma":[0.01131891,0.0003068416,0.0006006437,0.001112308,0.0001950635,0.0005198939,0.0006240217,0.0007379235,0.0002847152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006805249,"about_ca_system_score_gemma":0.001105919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0696152,"about_ca_topic_score_gemma":0.09701823,"domain_scores_codex":[0.9986448,0.0005857902,0.00009822173,0.0002955798,0.000277649,0.00009805523],"domain_scores_gemma":[0.9946443,0.00209876,0.002055501,0.0004008603,0.0005677246,0.0002328724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004644122,0.0000170706,0.9954295,0.00001762774,0.0001066791,0.00002005134,0.0000177956,0.0004549172,0.00003957211,0.00001879766,0.0002394017,0.003592101],"study_design_scores_gemma":[0.00001718311,0.00006168568,0.9883496,0.00004637206,0.0001152543,0.0001356017,0.00005987888,0.0103704,0.0001555598,0.0001405722,0.0005404695,0.000007517198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786679,0.001844611,0.006325504,0.0005208601,0.00004172862,0.00009074827,0.01099979,0.00009872187,0.001409978],"genre_scores_gemma":[0.9922444,0.0004130296,0.002915472,0.00006545299,0.00002572205,0.0000330747,0.003967766,0.000004617267,0.0003305346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0696152,"threshold_uncertainty_score":0.13842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07955503268302701,"score_gpt":0.3809007084412929,"score_spread":0.3013456757582659,"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."}}