{"id":"W4386918146","doi":"10.1371/journal.pone.0291997","title":"Distinct healthcare utilization profiles of high healthcare use tuberculosis survivors: A latent class analysis","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; St. Paul's Hospital; BC Centre for Disease Control; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Latent class model; Health care; Extensively drug-resistant tuberculosis; Tuberculosis; Medicine; Latent tuberculosis; Data science; Mycobacterium tuberculosis; Computer science; Pathology","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":[0.003990045,0.0003944459,0.0004468186,0.001775949,0.0009487334,0.001867683,0.0006725005,0.0005520944,0.00282878],"category_scores_gemma":[0.006623426,0.000236849,0.00146679,0.001536745,0.0007414925,0.000732739,0.001460499,0.00118279,0.0003680226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009887118,"about_ca_system_score_gemma":0.001122819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079348,"about_ca_topic_score_gemma":0.0155937,"domain_scores_codex":[0.9982544,0.0007181393,0.0001206591,0.0003064836,0.000217079,0.0003833274],"domain_scores_gemma":[0.9956043,0.001625701,0.001293963,0.0005174405,0.0004169335,0.0005417666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287045,0.00008301396,0.9966324,0.000007720493,0.0001037244,0.00002380909,0.00025376,0.0003344416,0.0001184717,0.0001667953,0.0002361837,0.00191092],"study_design_scores_gemma":[0.00001803493,0.00009450319,0.9763575,0.00002698629,0.00007524456,0.00008188339,0.001078231,0.02101991,0.00009048992,0.0008156873,0.0003210966,0.00002032435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969151,0.0000746486,0.001734379,0.0001618443,0.000007194104,0.00004247249,0.0007510185,0.000009507925,0.0003037293],"genre_scores_gemma":[0.9985963,0.00002691042,0.0004254409,0.00001466725,0.000005778452,0.00002602039,0.0008103665,0.00000465077,0.00008991861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079348,"threshold_uncertainty_score":0.04134488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170804455406075,"score_gpt":0.359668443704438,"score_spread":0.1425879981638305,"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."}}