{"id":"W2007622742","doi":"10.1093/bib/bbr003","title":"Building an HIV data mashup using Bio2RDF","year":2011,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canadian Institutes of Health Research","keywords":"Human immunodeficiency virus (HIV); Mashup; Computer science; Data integration; Expression (computer science); Data mining; Computational biology; World Wide Web; Biology; Virology; Web service; Programming language","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":[0.004345364,0.0009483389,0.0008818078,0.002303136,0.001625502,0.002726613,0.002615456,0.00120106,0.00766552],"category_scores_gemma":[0.009677736,0.0008894798,0.001649419,0.002010166,0.0008637914,0.006413942,0.00383203,0.002536425,0.00272422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355143,"about_ca_system_score_gemma":0.002084062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029724,"about_ca_topic_score_gemma":0.008354945,"domain_scores_codex":[0.9977869,0.0003041785,0.0001635243,0.0006346629,0.0009609004,0.0001498841],"domain_scores_gemma":[0.9963491,0.001271136,0.0001450791,0.001524337,0.0004051482,0.0003052595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00136861,0.0006852642,0.01207654,0.0009628049,0.0005873842,0.003188571,0.001769099,0.06226081,0.03538924,0.04900947,0.1828599,0.6498423],"study_design_scores_gemma":[0.0002901096,0.0002112415,0.003458918,0.0002632391,0.0001370082,0.001409279,0.0005171158,0.4234412,0.06706677,0.06470998,0.4382054,0.000289763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01549802,0.0005498613,0.804019,0.001972115,0.0004262323,0.0006117951,0.01298012,0.1564175,0.007525323],"genre_scores_gemma":[0.08346202,0.0006068439,0.8625795,0.0008706223,0.0001608676,0.0007294033,0.03880785,0.007231803,0.005551141],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01029724,"threshold_uncertainty_score":0.02564371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617947955621351,"score_gpt":0.2800292266842744,"score_spread":0.2182344311221393,"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."}}