{"id":"W2118756687","doi":"10.1155/2013/579741","title":"Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting","year":2013,"lang":"en","type":"article","venue":"BioMed Research International","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver","funders":"Core Research for Evolutional Science and Technology; National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; Università degli Studi di Brescia; U.S. Department of Defense","keywords":"Medicine; Intensive care medicine; Antiretroviral therapy; Drug; Human immunodeficiency virus (HIV); Viral load; Cost–benefit analysis; Risk analysis (engineering); Pharmacology; Family medicine","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":[0.002843198,0.000670795,0.0005725354,0.0006638036,0.00038984,0.001047056,0.001258309,0.0008185628,0.00462127],"category_scores_gemma":[0.009653125,0.0003142072,0.0004210241,0.0003819273,0.0003668832,0.001118184,0.0008189658,0.0006010191,0.0003432535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366219,"about_ca_system_score_gemma":0.002303234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053203,"about_ca_topic_score_gemma":0.009872731,"domain_scores_codex":[0.9988886,0.0007344134,0.00005006485,0.0001024151,0.0001467854,0.00007783951],"domain_scores_gemma":[0.9936865,0.004569523,0.0005758718,0.0003682076,0.0005105921,0.0002893802],"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":[0.003335637,0.002230584,0.06345441,0.0002372562,0.0002810105,0.0004372424,0.000120634,0.7302145,0.001329801,0.002967429,0.009489131,0.1859024],"study_design_scores_gemma":[0.0002077552,0.0007493544,0.01085313,0.00004224527,0.00009441089,0.0001214907,0.00007683937,0.98313,0.001113716,0.002130382,0.001436207,0.00004444696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970343,0.0005049548,0.08092782,0.005419591,0.0002160254,0.0006127242,0.00255623,0.003149961,0.009578507],"genre_scores_gemma":[0.9761752,0.00007504563,0.0219927,0.0002790949,0.00002767108,0.0001114132,0.0005190239,0.00002848973,0.0007914158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053203,"threshold_uncertainty_score":0.02094144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342793094472823,"score_gpt":0.3341222579479091,"score_spread":0.3106943270031809,"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."}}