{"id":"W2182593161","doi":"10.1177/135965350701200112","title":"The Development of Artificial Neural Networks to Predict Virological response to Combination HIV Therapy","year":2007,"lang":"en","type":"article","venue":"Antiviral Therapy","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"","keywords":"Viral load; Regimen; Medicine; Combination therapy; Artificial neural network; Machine learning; Internal medicine; Artificial intelligence; Human immunodeficiency virus (HIV); Statistics; Immunology; Computer science; Mathematics","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":[0.001722387,0.0007992066,0.0004005983,0.0005936105,0.000148053,0.0007270194,0.000510921,0.0006048685,0.000911788],"category_scores_gemma":[0.007188321,0.0003199937,0.000441714,0.0003932576,0.0001657455,0.0005514643,0.0003634846,0.0009176015,0.0003021306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827028,"about_ca_system_score_gemma":0.0006470994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005826215,"about_ca_topic_score_gemma":0.004618378,"domain_scores_codex":[0.9994926,0.0002534964,0.00003667584,0.00008053113,0.0001045666,0.00003198475],"domain_scores_gemma":[0.9972421,0.001987222,0.0001775758,0.00009198279,0.0004538671,0.00004720333],"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":[0.0001878427,0.0001539912,0.01950967,0.00006138751,0.0002452984,0.00006237652,0.00003294651,0.8493376,0.002150828,0.0006381441,0.001095335,0.1265245],"study_design_scores_gemma":[0.000003570156,0.00003708159,0.001205137,0.00001055751,0.00001285191,0.00001094905,0.000003074721,0.9978897,0.0003211243,0.0003511112,0.0001507563,0.000004189656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4521123,0.003110469,0.5334742,0.001424142,0.0002697148,0.0002192538,0.0009794426,0.001556904,0.006853586],"genre_scores_gemma":[0.906311,0.00087882,0.08988337,0.0001861284,0.00007688239,0.0001968007,0.000684028,0.000040862,0.001742082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005826215,"threshold_uncertainty_score":0.01158458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014491109499265,"score_gpt":0.3029147908529278,"score_spread":0.2727698797579352,"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."}}