{"id":"W2886954576","doi":"10.1101/393207","title":"<i>sierra-local</i> : A lightweight standalone application for secure HIV-1 drug resistance prediction","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"HIV/AIDS drug development and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Government of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Concordance; Confidentiality; Human immunodeficiency virus (HIV); Resistance (ecology); Interpretation (philosophy); Computer science; Drug resistance; Data mining; Data science; Computer security; Medicine; Bioinformatics; Family medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002608156,0.001890277,0.0009193417,0.001187532,0.0005783659,0.001925277,0.002793056,0.0009129477,0.04357708],"category_scores_gemma":[0.005665866,0.0009746904,0.0008712661,0.0006038153,0.0008927879,0.002186885,0.003623246,0.001773668,0.02285638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006838451,"about_ca_system_score_gemma":0.001238257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543167,"about_ca_topic_score_gemma":0.002255442,"domain_scores_codex":[0.998804,0.0002076148,0.00009915793,0.0002934413,0.0004636531,0.0001320825],"domain_scores_gemma":[0.996867,0.001094731,0.0002747436,0.001081083,0.0003900696,0.0002923613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003404265,0.0004623951,0.01384764,0.0009168433,0.0004460604,0.001317144,0.0009194491,0.009514283,0.04460955,0.01145925,0.6900337,0.2230695],"study_design_scores_gemma":[0.00191502,0.0005319633,0.02189769,0.0004592283,0.0002709811,0.001638708,0.0002438269,0.4336075,0.1483447,0.02098109,0.3693718,0.0007374557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006235293,0.0001399624,0.09275927,0.0002526612,0.0001037127,0.0001842629,0.004536375,0.8898237,0.005964696],"genre_scores_gemma":[0.4359579,0.000655845,0.2740479,0.00245075,0.0004974217,0.001561842,0.05282051,0.2016271,0.0303807],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04357708,"threshold_uncertainty_score":0.1457798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007722440253410795,"score_gpt":0.2176390478896852,"score_spread":0.2099166076362744,"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."}}