{"id":"W2285505354","doi":"10.1096/fasebj.22.2_supplement.541","title":"InnateDB &amp; Cerebral: user‐friendly tools for the systems‐level analysis of innate immunity","year":2008,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Critical Systems Labs; University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Upload; Innate immune system; Computational biology; Visualization; Biology; Annotation; Computer science; Data science; Bioinformatics; World Wide Web; Data mining; Immune system; Genetics","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":[0.002969977,0.003220688,0.00256529,0.004217234,0.00104039,0.00326259,0.005880796,0.001420185,0.07033955],"category_scores_gemma":[0.005952632,0.00202414,0.002141475,0.003438777,0.0006930375,0.003619687,0.004995622,0.003944376,0.02969247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429093,"about_ca_system_score_gemma":0.002349091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005127036,"about_ca_topic_score_gemma":0.008124528,"domain_scores_codex":[0.9988436,0.0001783008,0.0001061808,0.0002789356,0.0004708162,0.0001221784],"domain_scores_gemma":[0.9975923,0.001261398,0.0002004852,0.0004468272,0.0002413898,0.0002575258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001249506,0.0002160107,0.002939821,0.003847788,0.0006383021,0.000819189,0.0006420675,0.007970842,0.01906343,0.01000335,0.843529,0.1090807],"study_design_scores_gemma":[0.001489159,0.0001763831,0.01001604,0.0008570551,0.0003103745,0.001393848,0.0003510392,0.1059308,0.05036703,0.04588937,0.7825909,0.0006279226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003532719,0.0008980851,0.2229471,0.0004720669,0.0002464934,0.0003820439,0.1661087,0.5991271,0.00628566],"genre_scores_gemma":[0.05199475,0.002356745,0.4782125,0.001176916,0.0002683029,0.003869884,0.3450605,0.1053982,0.01166225],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07033955,"threshold_uncertainty_score":0.2353092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527431760769328,"score_gpt":0.2912263555488602,"score_spread":0.2259520379411669,"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."}}