{"id":"W4391228942","doi":"10.1186/s12859-024-05659-z","title":"Anchor Clustering for million-scale immune repertoire sequencing data","year":2024,"lang":"en","type":"review","venue":"BMC Bioinformatics","topic":"Artificial Immune Systems Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Repertoire; Cluster analysis; Computational biology; DNA microarray; Biology; Scale (ratio); Immune system; Data science; Computer science; Genetics; Bioinformatics; Gene; Geography; Artificial intelligence; Cartography; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00305199,0.0008557371,0.001511368,0.005365364,0.0004627926,0.001298189,0.002297553,0.0009860876,0.001848579],"category_scores_gemma":[0.005808989,0.0004680313,0.00149409,0.007313949,0.0006313472,0.00118844,0.0009507237,0.001436449,0.001885246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009899018,"about_ca_system_score_gemma":0.001038208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111064,"about_ca_topic_score_gemma":0.002018312,"domain_scores_codex":[0.9982188,0.0003976392,0.0001202668,0.0004141607,0.0007834066,0.0000657299],"domain_scores_gemma":[0.9957644,0.001987794,0.0004378389,0.0003939672,0.001299247,0.0001168428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001596584,0.0000749676,0.004534538,0.007029846,0.0007952838,0.0001874763,0.0002340774,0.03231848,0.009525524,0.01207961,0.01858739,0.9144731],"study_design_scores_gemma":[0.00009569192,0.0003770315,0.03390161,0.003297945,0.0008520336,0.002603213,0.0006006038,0.2633577,0.03749359,0.1197854,0.5372369,0.0003982831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01900038,0.2617416,0.7034566,0.001671493,0.0009518083,0.0003644957,0.003553217,0.002517187,0.006743187],"genre_scores_gemma":[0.1139808,0.1609853,0.7084069,0.0007145653,0.0007724327,0.0009401612,0.01060136,0.0008088982,0.002789633],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005365364,"threshold_uncertainty_score":0.0161407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1445550652327764,"score_gpt":0.3438470522205079,"score_spread":0.1992919869877315,"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."}}