{"id":"W2131218326","doi":"10.1111/j.1468-1293.2010.00871.x","title":"Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study)","year":2010,"lang":"en","type":"article","venue":"HIV Medicine","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver; University of British Columbia","funders":"Pfizer","keywords":"Medicine; Task (project management); Regimen; Set (abstract data type); Standard deviation; Human immunodeficiency virus (HIV); Data set; Statistics; Machine learning; Artificial intelligence; Data mining; Computer science; Internal medicine; Family medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004488,0.0002242404,0.0004106947,0.00009278531,0.0002449811,0.00001337279,0.0003035084,0.00006261427,0.00007871058],"category_scores_gemma":[0.0001445894,0.0001036239,0.00002813237,0.0002057076,0.0002586872,0.00006280551,0.0001017518,0.0001814089,0.00000967402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335488,"about_ca_system_score_gemma":0.00004642224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462953,"about_ca_topic_score_gemma":0.00002365517,"domain_scores_codex":[0.9981707,0.0002225413,0.0004161299,0.0003956891,0.0005833438,0.000211632],"domain_scores_gemma":[0.9984171,0.0002251968,0.0001156607,0.001008348,0.00007760127,0.0001561183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001288517,0.0003982154,0.05632483,0.00002156241,0.000258784,0.00003203282,0.01498381,4.506392e-8,0.2337462,0.00001801952,0.6906345,0.002293397],"study_design_scores_gemma":[0.0269982,0.007871469,0.1850687,0.0008509289,0.0006569102,0.0002362425,0.04726817,0.0003894363,0.01183143,0.000004257877,0.7183381,0.0004861651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766413,0.001120434,0.00002823181,0.02005106,0.0002154417,0.001368324,0.00005993346,0.00006349203,0.0004517656],"genre_scores_gemma":[0.9910299,0.00006929022,0.00004743736,0.000515649,0.0002850512,0.00009423481,0.0002373807,0.00002788586,0.007693172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2219148,"threshold_uncertainty_score":0.4225661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03828018161141736,"score_gpt":0.3072018566378002,"score_spread":0.2689216750263829,"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."}}