{"id":"W3010897955","doi":"10.3390/cells9030690","title":"Is T Cell Negative Selection a Learning Algorithm?","year":2020,"lang":"en","type":"article","venue":"Cells","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Radboud Universitair Medisch Centrum; KWF Kankerbestrijding; Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Negative selection; Repertoire; Context (archaeology); Biology; T cell; Self Tolerance; Immune system; Clonal deletion; Computational biology; Cell biology; Immunology; Gene; T-cell receptor; Biochemistry","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006973593,0.0001900373,0.0002496276,0.00005068049,0.0002404239,0.0000162808,0.0001829771,0.0002913073,0.003658601],"category_scores_gemma":[0.00002074582,0.0001799913,0.0001053944,0.0002200609,0.0001354099,0.00006946431,0.00008852403,0.0006568413,0.01009084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000256837,"about_ca_system_score_gemma":0.00004575714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006984525,"about_ca_topic_score_gemma":0.000001449264,"domain_scores_codex":[0.9988106,0.0001931463,0.0002114738,0.0003783942,0.00002616278,0.0003801997],"domain_scores_gemma":[0.999588,0.00009781055,0.0001126938,0.0001055523,0.00006148793,0.00003451427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004414033,0.00006464143,0.0001502062,0.00001273075,0.00006711474,0.000004607077,0.002089421,0.00001416314,0.9690152,0.0000131712,0.02270239,0.005822232],"study_design_scores_gemma":[0.0008405627,0.0003366874,0.00002804424,0.00000415417,0.00002763782,0.000009936694,0.0004275005,0.0001497481,0.7695251,0.00003574076,0.2284538,0.000161079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298371,0.006200747,0.01134036,0.003766866,0.003293372,0.0009095759,0.00007216317,0.001073855,0.04350598],"genre_scores_gemma":[0.9690329,0.0001455023,0.0006323063,0.001432118,0.00009601723,0.00001097405,0.00004067464,0.00002667565,0.02858285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2057514,"threshold_uncertainty_score":0.9972522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197753318064699,"score_gpt":0.2113773271204855,"score_spread":0.1993997939398385,"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."}}