{"id":"W2914058860","doi":"10.4049/jimmunol.1700306","title":"Comment on “A Database of Human Immune Receptor Alleles Recovered from Population Sequencing Data”","year":2017,"lang":"en","type":"letter","venue":"The Journal of Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences","keywords":"Germline; Allele; T-cell receptor; Genetics; Biology; Gene; Computational biology; Population; Immune system; T cell; Sociology; Demography","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":[0.005546691,0.001067648,0.001326637,0.0008950508,0.002758543,0.003095406,0.002455656,0.03691127,0.004448956],"category_scores_gemma":[0.03749707,0.0008370812,0.001021555,0.0008403206,0.002925292,0.003666077,0.00155098,0.03707491,0.007184939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003113898,"about_ca_system_score_gemma":0.00226175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821266,"about_ca_topic_score_gemma":0.00335922,"domain_scores_codex":[0.9960666,0.001050525,0.0006642859,0.0008091088,0.000975832,0.0004337196],"domain_scores_gemma":[0.9844984,0.009110319,0.001308132,0.0004619578,0.003292069,0.001329095],"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":[0.00006760094,0.00001614318,0.0004466077,0.00004787671,0.0000127589,0.0009400663,0.00008777586,0.0000431069,0.0002105427,0.0009334576,0.9931533,0.004040796],"study_design_scores_gemma":[0.0001313009,0.0001176525,0.001900938,0.0003530312,0.00005094634,0.00332494,0.0004472994,0.0007669477,0.001039809,0.00848235,0.9832612,0.0001236412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003201771,0.0009254022,0.0003185209,0.970139,0.02743443,0.00001438457,0.0001659816,0.00006298087,0.0006190733],"genre_scores_gemma":[0.002391501,0.0005020679,0.0002928529,0.9617835,0.0334543,0.00003863084,0.00004906358,0.00002982775,0.001458359],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03691127,"threshold_uncertainty_score":0.02933407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118048680133654,"score_gpt":0.363387910714763,"score_spread":0.2515830427013976,"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."}}