{"id":"W2054684559","doi":"10.1016/j.it.2009.03.009","title":"Enabling a systems biology approach to immunology: focus on innate immunity","year":2009,"lang":"en","type":"review","venue":"Trends in Immunology","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Innate immune system; Acquired immune system; Immunity; Biology; Set (abstract data type); Immunology; Immune system; Neuroscience; Computational biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001473289,0.002568629,0.008064839,0.007300092,0.0006327081,0.00008978419,0.003920988,0.006905877,0.0005165538],"category_scores_gemma":[0.0003064859,0.002206499,0.001337097,0.003501862,0.001372972,0.0001605065,0.001313167,0.007027059,0.004963615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034241,"about_ca_system_score_gemma":0.0004762162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523151,"about_ca_topic_score_gemma":0.00006683009,"domain_scores_codex":[0.984748,0.005440173,0.003443285,0.002814355,0.0001151679,0.003439036],"domain_scores_gemma":[0.993552,0.00114283,0.001485937,0.003547992,0.0001646672,0.000106589],"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":[0.00064199,0.001904501,0.000004421091,0.0006223687,0.00280246,0.00007380399,0.0004203532,0.00001524945,0.01460742,0.01706802,0.0018512,0.9599882],"study_design_scores_gemma":[0.00294359,0.002388366,0.00003031432,0.002677781,0.0006041676,0.001411697,0.0002532533,0.00000142775,0.000506771,0.0004372348,0.9867144,0.002030967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004691512,0.9657363,0.00006687689,0.0001560923,0.00594763,0.001613861,0.0002514313,0.0006064867,0.02515217],"genre_scores_gemma":[0.008882557,0.9766257,0.0001330263,0.0001852124,0.0002063307,0.001220794,0.003127029,0.0002809434,0.00933836],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9848632,"threshold_uncertainty_score":0.9987049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271494882934157,"score_gpt":0.3074645909588528,"score_spread":0.2547496421295112,"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."}}