{"id":"W2419179490","doi":"10.1177/135965350300800511","title":"HIV Lipodystrophy Case Definition using Artificial Neural Network Modelling","year":2003,"lang":"en","type":"article","venue":"Antiviral Therapy","topic":"HIV-related health complications and treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Toronto Western Hospital; St. Paul's Hospital; Montreal General Hospital","funders":"","keywords":"Logistic regression; Lipodystrophy; Artificial neural network; Regression analysis; Regression; Statistics; Artificial intelligence; Machine learning; Computer science; Medicine; Human immunodeficiency virus (HIV); Mathematics; Antiretroviral therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002622875,0.0006358678,0.0005866261,0.002282992,0.0002229429,0.001316377,0.0008277593,0.0006549765,0.00109467],"category_scores_gemma":[0.007684083,0.0002819061,0.0007838259,0.0009674388,0.0002662953,0.0006900526,0.0005598622,0.0007120055,0.0002421603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008363043,"about_ca_system_score_gemma":0.0005128522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005441112,"about_ca_topic_score_gemma":0.003930786,"domain_scores_codex":[0.9989465,0.00059708,0.000108437,0.0001814982,0.0001233168,0.00004311376],"domain_scores_gemma":[0.9974704,0.001956191,0.0002975301,0.00008379554,0.0001506999,0.00004143819],"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":[0.001017815,0.0003556384,0.2306008,0.0003212919,0.0006402364,0.001116464,0.0002720729,0.6095513,0.002115388,0.002087942,0.00231649,0.1496047],"study_design_scores_gemma":[0.00001485642,0.00003486351,0.009654676,0.00004685509,0.00003622425,0.0001803738,0.00003191421,0.9883249,0.0003364281,0.001058668,0.0002681594,0.00001209361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7438071,0.001917062,0.248593,0.001061041,0.0001028867,0.0004127432,0.0008946097,0.0004932153,0.002718369],"genre_scores_gemma":[0.9489204,0.000396365,0.04893472,0.00006869462,0.00004043505,0.0002026091,0.0009075356,0.00001242137,0.0005169626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005441112,"threshold_uncertainty_score":0.01387125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152919346551101,"score_gpt":0.3313983762635881,"score_spread":0.2161064416084781,"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."}}