{"id":"W4364858013","doi":"10.2196/43017","title":"Predictive Modeling of Lapses in Care for People Living with HIV in Chicago: Algorithm Development and Interpretation","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Interpretation (philosophy); Human immunodeficiency virus (HIV); Computer science; Algorithm; Gerontology; Medicine; Psychology; Environmental health; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006476301,0.00115177,0.001244896,0.002181892,0.0009139272,0.001555311,0.0020874,0.001343638,0.002602255],"category_scores_gemma":[0.01475133,0.0006078844,0.001198123,0.00138624,0.0006603103,0.001060986,0.001528367,0.002408396,0.0005146264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599148,"about_ca_system_score_gemma":0.003324489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03505674,"about_ca_topic_score_gemma":0.01904304,"domain_scores_codex":[0.9988356,0.0005240655,0.0000994837,0.0002677525,0.000142872,0.0001300899],"domain_scores_gemma":[0.9897763,0.008176617,0.0005144103,0.0002437006,0.001061806,0.0002272434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002732847,0.0002784131,0.05669126,0.000102933,0.0001551477,0.0001664991,0.0001379905,0.8619083,0.000243545,0.002054604,0.004381397,0.07360653],"study_design_scores_gemma":[0.00001191724,0.00001548357,0.0008079503,0.00001566604,0.0000097325,0.00001719571,0.00002618751,0.997502,0.0000526853,0.001356971,0.0001806315,0.00000357668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3498414,0.001699675,0.6346207,0.00360401,0.000177771,0.0007656578,0.002171455,0.003979498,0.003139797],"genre_scores_gemma":[0.8014787,0.0006448951,0.1906872,0.0005318105,0.0001459203,0.0008218481,0.003928301,0.0001289704,0.001632269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03505674,"threshold_uncertainty_score":0.06970537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252319916352385,"score_gpt":0.3353909572444297,"score_spread":0.3101589656091913,"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."}}