{"id":"W2348867233","doi":"","title":"BioDW: A Bioinformatics Data Integration System","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Interoperability; Key (lock); Data integration; System integration; Biological data; Data science; Data mining; Bioinformatics; Database; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004069036,0.001104279,0.001345498,0.004434441,0.001046733,0.003178222,0.003127821,0.001250404,0.00905088],"category_scores_gemma":[0.006667472,0.001177881,0.0007767965,0.00430513,0.0006100048,0.005812099,0.005385804,0.001686951,0.007423965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115332,"about_ca_system_score_gemma":0.002785207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003206557,"about_ca_topic_score_gemma":0.001977586,"domain_scores_codex":[0.9978037,0.0002979286,0.0004102179,0.0005132732,0.0008353431,0.0001393797],"domain_scores_gemma":[0.9978865,0.0004043444,0.0002943212,0.0005876874,0.000520826,0.0003063662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001681323,0.0007642449,0.01193232,0.00195119,0.0006003389,0.001479848,0.001339466,0.01112021,0.04895047,0.04118528,0.2916059,0.5873895],"study_design_scores_gemma":[0.0007750016,0.0005132966,0.01031191,0.0004821504,0.0003581145,0.001969657,0.0003689186,0.1716101,0.04178447,0.03816325,0.7332102,0.000452914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0191973,0.001599923,0.5801669,0.001721549,0.0003744233,0.001462922,0.02265398,0.3572785,0.01554444],"genre_scores_gemma":[0.1335594,0.002137383,0.6829409,0.003687304,0.0003820055,0.004051244,0.1335699,0.01363252,0.0260393],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.00905088,"threshold_uncertainty_score":0.03027821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1655679772804358,"score_gpt":0.3909156036802896,"score_spread":0.2253476263998538,"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."}}