{"id":"W2530748177","doi":"10.1093/bioinformatics/btw634","title":"ARResT/Interrogate: an interactive immunoprofiler for IG/TR NGS data","year":2016,"lang":"en","type":"article","venue":"Bioinformatics","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"OVC Pet Trust; Ministerstvo Školství, Mládeže a Tělovýchovy; Central European Institute of Technology; University of Guelph","keywords":"Computer science; Task (project management); Filter (signal processing); Interpretation (philosophy); Web application; Data science; Computational biology; World Wide Web; Biology; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003272324,0.0002879754,0.0003588309,0.0001284131,0.0002167806,0.00003890664,0.001182262,0.0003568261,0.0008374631],"category_scores_gemma":[0.0001838071,0.0001844097,0.00009509963,0.00007921316,0.0003475534,0.001104787,0.0005342101,0.0002246465,0.0030234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005888123,"about_ca_system_score_gemma":0.00009164268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004314798,"about_ca_topic_score_gemma":0.00003791467,"domain_scores_codex":[0.9983607,0.00007740212,0.0006235355,0.0003149511,0.00003999496,0.0005834369],"domain_scores_gemma":[0.9978859,0.0002912062,0.000311717,0.001339285,0.0001336898,0.00003817429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005419186,0.0002170254,0.0000840751,0.00004806724,0.0003505851,0.000001756865,0.001533839,2.21386e-7,0.8742102,0.0008558824,0.0420725,0.08008396],"study_design_scores_gemma":[0.005290401,0.001326357,0.0001542604,0.0001689892,0.0001220667,0.0001290406,0.002932723,0.0003162005,0.3662437,0.0005287966,0.6221268,0.0006606862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854132,0.003517066,0.05471012,0.003399788,0.0236333,0.004122377,0.006769207,0.001474001,0.01696088],"genre_scores_gemma":[0.9749959,0.0002205317,0.005765219,0.0006173182,0.000148503,0.0000928295,0.002741303,0.00005603502,0.01536237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800543,"threshold_uncertainty_score":0.9977528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201650756851279,"score_gpt":0.2756753969730611,"score_spread":0.2436588894045483,"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."}}