{"id":"W2980534007","doi":"10.1038/s41597-019-0213-4","title":"The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system","year":2019,"lang":"en","type":"article","venue":"Scientific Data","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Institutes of Health; National Institute of Allergy and Infectious Diseases; European Commission; Georgia Clinical and Translational Science Alliance; Howard Hughes Medical Institute","keywords":"Immunogenicity; Influenza vaccine; Immune system; Immunology; Biology; Computational biology; Immunity; Vaccination; Virology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.005696835,0.0001763133,0.0003936313,0.0002037075,0.0008986854,0.000130151,0.002425706,0.00004062131,0.0001815604],"category_scores_gemma":[0.001595742,0.00006734613,0.0001694604,0.001800294,0.0004901632,0.0001123314,0.004713741,0.0003768232,0.0004877422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119492,"about_ca_system_score_gemma":0.0002240306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003375693,"about_ca_topic_score_gemma":0.0001641765,"domain_scores_codex":[0.9965963,0.0002531976,0.0005670564,0.0006913721,0.001471449,0.0004206398],"domain_scores_gemma":[0.9896789,0.0008081537,0.0002469012,0.008851115,0.0003389268,0.00007607273],"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":[0.003101129,0.001275743,0.09291472,0.0009618826,0.02129847,0.00003500992,0.00206606,0.002786918,0.350159,0.06197562,0.4504346,0.01299093],"study_design_scores_gemma":[0.001557982,0.00009105025,0.3826943,0.0003404517,0.001306533,0.000007912724,0.001806082,0.04187044,0.02030748,0.00001723921,0.5497927,0.0002078551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655462,0.001996944,0.00001644734,0.004644925,0.00170371,0.002391923,0.0226601,0.00004829859,0.0009914652],"genre_scores_gemma":[0.9956956,0.00002193766,0.00009138255,0.0003993163,0.0000483433,0.00003619547,0.002180299,0.00001704959,0.001509878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3298515,"threshold_uncertainty_score":0.6912053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035032283735949,"score_gpt":0.38000786687867,"score_spread":0.2765046385050751,"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."}}