{"id":"W3129557589","doi":"10.17504/protocols.io.w4efgte","title":"HIV-Flow assay v1","year":2019,"lang":"en","type":"preprint","venue":"","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Human immunodeficiency virus (HIV); Translation (biology); Protocol (science); Measure (data warehouse); Virology; Flow (mathematics); Computational biology; Computer science; Biology; Medicine; Mathematics; Data mining; Genetics; Pathology; Geometry","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":[0.002007571,0.001694985,0.001016643,0.002021501,0.001433596,0.002490972,0.002020359,0.001655641,0.03165922],"category_scores_gemma":[0.002903786,0.00076733,0.0005970536,0.0009578591,0.000554467,0.001105583,0.001205384,0.003317111,0.03178945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242055,"about_ca_system_score_gemma":0.001219502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007115673,"about_ca_topic_score_gemma":0.0007188551,"domain_scores_codex":[0.9971437,0.0005420282,0.0001911905,0.00070846,0.001066627,0.0003480588],"domain_scores_gemma":[0.9988602,0.0003809161,0.00007823449,0.000257594,0.0003197776,0.000103182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008815734,0.0004750965,0.001789147,0.0007708027,0.00005553607,0.0001943588,0.0002835717,0.0008417389,0.8459176,0.02438541,0.04807601,0.07632909],"study_design_scores_gemma":[0.00009111526,0.0003165439,0.001700696,0.000150286,0.00004974307,0.000652371,0.00004054242,0.005261516,0.8235387,0.00380639,0.1643177,0.00007433036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1086825,0.00863268,0.6378466,0.002477138,0.003151141,0.007357124,0.05906782,0.03134511,0.1414399],"genre_scores_gemma":[0.1686385,0.008135024,0.4789332,0.002810173,0.0009638661,0.009314728,0.1139012,0.006235336,0.2110679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03165922,"threshold_uncertainty_score":0.1059106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051787651257826,"score_gpt":0.2772987624904003,"score_spread":0.256780885977822,"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."}}