{"id":"W7116720388","doi":"10.70962/lasid2025abstract.20","title":"Canadian Inborn Errors of Immunity National Registry (CIEINR): A High-Quality Standardized Patient Data Platform to Support Patient Advocacy and Immune Deficiency Research","year":2025,"lang":"en","type":"article","venue":"Journal of Human Immunity","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Western Ontario; Western University; McMaster Children's Hospital; Alberta Health Services; Montreal Clinical Research Institute; Children's Hospital Research Institute of Manitoba; Community Based Research Centre; University of Manitoba; Ottawa Hospital; Children's Hospital of Winnipeg; Alberta Children's Hospital; Stollery Children's Hospital; Hospital for Sick Children; BC Children's Hospital; Dalhousie University","funders":"","keywords":"Data collection; Clinical research; Data quality; Patient registry; Newborn screening; Informed consent; Patient advocacy; Primary immunodeficiency; Confidentiality; Presentation (obstetrics)","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":[0.06742013,0.001139797,0.001616753,0.01882865,0.004759485,0.007190179,0.006914773,0.001579096,0.0114474],"category_scores_gemma":[0.148535,0.001157501,0.001763254,0.01901824,0.001844142,0.004131005,0.01150147,0.002923979,0.004973302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03088123,"about_ca_system_score_gemma":0.2392698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7209284,"about_ca_topic_score_gemma":0.7867562,"domain_scores_codex":[0.9489553,0.013325,0.009329804,0.00571027,0.01958939,0.003090308],"domain_scores_gemma":[0.7300216,0.03552226,0.01832955,0.04304495,0.14947,0.02361172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001093104,0.0002412818,0.04945476,0.003274706,0.0004419702,0.0006025321,0.003757628,0.002468933,0.002739647,0.02757136,0.7188875,0.1894666],"study_design_scores_gemma":[0.000506846,0.00008882298,0.0510966,0.002550975,0.0002196273,0.0003047918,0.001520918,0.002975855,0.002730625,0.004621434,0.9330372,0.0003462536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02273175,0.003917789,0.1199309,0.02388661,0.001586112,0.02173872,0.7265316,0.01744362,0.0622328],"genre_scores_gemma":[0.0705606,0.003041005,0.3621675,0.004222532,0.0005349069,0.01063385,0.5379221,0.002541839,0.008375654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2790716,"threshold_uncertainty_score":0.5614302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06131749598781111,"score_gpt":0.3695527818333393,"score_spread":0.3082352858455282,"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."}}