{"id":"W4393132079","doi":"10.1016/j.jclinepi.2024.111332","title":"Validation of case-ascertainment algorithms using health administrative data to identify people who inject drugs in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; SickKids Foundation; Hospital for Sick Children; University of British Columbia; McGill University; Institute for Clinical Evaluative Sciences; University of Ottawa; Vancouver Hospital and Health Sciences Centre; Ontario Drug Policy Research Network; St. Paul's Hospital; Toronto Rehabilitation Institute; Public Health Ontario; Toronto General Hospital; University Health Network; Western University; University of Toronto; Bruyère; Toronto Public Health; Centre for Advancing Health Outcomes; Jewish General Hospital; BC Centre for Disease Control; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Public health; Emergency department; Pharmacoepidemiology; Population; Public health surveillance; Injection drug use; Medical prescription; Family medicine; Drug; Medical emergency; Algorithm; Environmental health; Psychiatry; Drug injection; Pharmacology; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0270921,0.0008869274,0.001379738,0.002885457,0.002914888,0.003216761,0.004006309,0.0009860641,0.00126461],"category_scores_gemma":[0.09100842,0.0009946509,0.001497713,0.004092712,0.001034957,0.0008229582,0.001618047,0.00115477,0.0003365154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03676334,"about_ca_system_score_gemma":0.08425466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987747,"about_ca_topic_score_gemma":0.9891025,"domain_scores_codex":[0.9839446,0.005331848,0.002593227,0.002047738,0.004422336,0.00166015],"domain_scores_gemma":[0.9411852,0.01975923,0.006412277,0.003872276,0.02725995,0.001511037],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004350374,0.0001480136,0.9702389,0.0002033464,0.0005207366,0.00007263551,0.0007745619,0.00426809,0.0002128288,0.0005089851,0.005845068,0.01677177],"study_design_scores_gemma":[0.0003867568,0.00009974281,0.9626604,0.0002329968,0.0004661964,0.0001009556,0.0007990786,0.02925783,0.0004186382,0.000230317,0.005307348,0.0000397242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962211,0.001706685,0.008335575,0.001635867,0.0001822264,0.002027769,0.0189034,0.0002063844,0.004791064],"genre_scores_gemma":[0.9703587,0.0007515642,0.01427561,0.0003483797,0.00003835751,0.0006687013,0.01230867,0.00003829811,0.001211679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9729079,"threshold_uncertainty_score":0.2667379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4877066576656726,"score_gpt":0.5882311413564911,"score_spread":0.1005244836908186,"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."}}