{"id":"W4401930334","doi":"10.3389/fgene.2024.1480936","title":"Editorial: HLA in personalized medicine","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Genetics","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Personalized medicine; Human leukocyte antigen; Citation; Front (military); Computational biology; Computer science; World Wide Web; Medicine; Bioinformatics; Biology; Genetics; Engineering","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":[0.005189104,0.003234827,0.002821973,0.00355285,0.002566504,0.007306263,0.003388202,0.01157702,0.02963266],"category_scores_gemma":[0.02416792,0.0008587897,0.003109007,0.001000199,0.002583611,0.005046398,0.00163419,0.0145405,0.01898859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002857573,"about_ca_system_score_gemma":0.002934827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006562459,"about_ca_topic_score_gemma":0.0009469331,"domain_scores_codex":[0.9951569,0.0009216577,0.0005372891,0.0007861062,0.002132397,0.0004655604],"domain_scores_gemma":[0.9778992,0.007997285,0.001379887,0.0006284612,0.008780096,0.003315108],"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":[0.00005339107,0.00001707912,0.00003601486,0.0002351023,0.00001688665,0.0001326222,0.00001389646,0.00002784993,0.00006611669,0.0004018073,0.9938846,0.005114698],"study_design_scores_gemma":[0.00007177309,0.00005116688,0.0002433449,0.0005325415,0.00004101544,0.0004078906,0.000051369,0.0001312189,0.0001715306,0.001239386,0.9970373,0.00002155892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000531562,0.00288336,0.0001014318,0.0300455,0.9650651,0.00002843676,0.00004973085,0.00005988088,0.00171351],"genre_scores_gemma":[0.0004098541,0.001992654,0.00007262838,0.02149989,0.9705426,0.0000178282,0.00004123865,0.0000260135,0.005397311],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02963266,"threshold_uncertainty_score":0.09913111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007183986153299939,"score_gpt":0.2707089731780583,"score_spread":0.2635249870247583,"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."}}