{"id":"W2887833592","doi":"10.1101/381830","title":"The Integrated Rapid Infectious Disease Analysis (IRIDA) Platform","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McMaster University; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; University of Manitoba; Public Health Agency of Canada","funders":"Cisco Systems Canada; Public Health Agency; Genome British Columbia; Cystic Fibrosis Canada; Public Health Agency of Canada; Government of Canada; Genome Atlantic; Compute Canada; Genome Canada; Cisco Systems","keywords":"Interoperability; Computer science; Data science; Data sharing; Metadata; Infectious disease (medical specialty); Analytics; Data management; Data mining; World Wide Web; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00888705,0.001826058,0.001908042,0.002916556,0.001184128,0.005548452,0.005221958,0.001183193,0.01333679],"category_scores_gemma":[0.008750491,0.001324472,0.00171336,0.001654994,0.0009420198,0.003553385,0.006588246,0.00431552,0.0137187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001999507,"about_ca_system_score_gemma":0.00645472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007160405,"about_ca_topic_score_gemma":0.006220134,"domain_scores_codex":[0.994165,0.0009300123,0.000380179,0.001880973,0.002067664,0.0005760837],"domain_scores_gemma":[0.9892108,0.002166018,0.001316388,0.002342913,0.003085966,0.001877922],"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":[0.004308043,0.0006691113,0.01811772,0.001717044,0.0005774281,0.0007800024,0.001016831,0.009562565,0.08964594,0.03226815,0.4953083,0.3460288],"study_design_scores_gemma":[0.001222692,0.0006123277,0.01888652,0.0006745,0.0004361732,0.0009095044,0.0002950552,0.1637703,0.06975867,0.03719738,0.7055537,0.000683372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0324444,0.002175358,0.5540775,0.002800859,0.001265759,0.002260183,0.06554314,0.2972163,0.0422166],"genre_scores_gemma":[0.09878817,0.0009377807,0.7562742,0.002376293,0.0005093396,0.002626021,0.111146,0.01358342,0.01375872],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01333679,"threshold_uncertainty_score":0.04699981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009738934606640414,"score_gpt":0.212301618987119,"score_spread":0.2025626843804786,"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."}}