{"id":"W2165910865","doi":"10.1128/aac.00096-10","title":"Predicting Tipranavir and Darunavir Resistance Using Genotypic, Phenotypic, and Virtual Phenotypic Resistance Patterns: an Independent Cohort Analysis of Clinical Isolates Highly Resistant to All Other Protease Inhibitors","year":2010,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Notre-Dame; McGill University Health Centre; Institut National de Santé Publique du Québec; Centre Hospitalier de l’Université de Montréal","funders":"U.S. Food and Drug Administration","keywords":"Darunavir; Phenotype; Genotype; Biology; Drug resistance; Virology; Microbiology; Genetics; Viral load; Gene; Human immunodeficiency virus (HIV); Antiretroviral therapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002950429,0.0008737918,0.0006495744,0.000837627,0.0008292284,0.001189963,0.0006818355,0.0006713626,0.0007847187],"category_scores_gemma":[0.004604272,0.0005334152,0.001297422,0.0005034807,0.0005414707,0.0006378025,0.0008599721,0.001635685,0.0003148621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006627328,"about_ca_system_score_gemma":0.001075997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01337526,"about_ca_topic_score_gemma":0.01161699,"domain_scores_codex":[0.9987324,0.0003957785,0.0000536184,0.0003844249,0.0002525811,0.0001812919],"domain_scores_gemma":[0.9966217,0.001017123,0.00035653,0.0008332347,0.0006214455,0.0005499032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001679955,0.000486866,0.9896589,0.000005044913,0.000247833,0.0001416254,0.0001973935,0.0006714248,0.002003403,0.00002588575,0.0003075713,0.004574148],"study_design_scores_gemma":[0.0001666423,0.002185449,0.9744142,0.000008386818,0.0002771483,0.0007272838,0.0004491063,0.01909172,0.001982828,0.00009630938,0.0005480807,0.00005297716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994714,0.00002055801,0.0002518731,0.00001243577,0.000003725237,0.00001643283,0.0001483736,0.000004051994,0.0000711985],"genre_scores_gemma":[0.9984463,0.00003319083,0.0004482911,0.00001755699,0.000008961299,0.00002023802,0.0008245456,0.000008378443,0.0001925783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337526,"threshold_uncertainty_score":0.02659482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068909133519359,"score_gpt":0.3084914171182662,"score_spread":0.2878023257830726,"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."}}