{"id":"W2956269432","doi":"10.1101/706606","title":"MATE-Seq: Microfluidic Antigen-TCR Engagement Sequencing","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Parker Institute for Cancer Immunotherapy; Washington State University; Government of Canada; California Institute of Technology","keywords":"T-cell receptor; Antigen; CD8; Biology; T cell; Acquired immune system; Major histocompatibility complex; Peptide; Receptor; Immune system; Molecular biology; Cell biology; Immunology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006843706,0.0007338768,0.0005867825,0.0001700855,0.0001967766,0.0002182549,0.0008218523,0.0009218144,0.00005332803],"category_scores_gemma":[0.00009417911,0.0008163422,0.0003104847,0.0001877762,0.0001222305,0.0000102831,0.0006547748,0.0007712601,0.0001487348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002206613,"about_ca_system_score_gemma":0.0009280905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009433183,"about_ca_topic_score_gemma":0.000002429363,"domain_scores_codex":[0.9966921,0.0001998397,0.0006129178,0.001402233,0.0003397283,0.0007531854],"domain_scores_gemma":[0.9973337,0.00001800908,0.0003272232,0.001735112,0.0003419975,0.0002439244],"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":[0.00005000641,0.0001014705,0.009066596,0.0004010829,0.0002399925,0.00002497738,0.000009818743,0.0001101699,0.9884783,0.00006128965,0.001453777,0.0000025421],"study_design_scores_gemma":[0.0005793492,0.0001303043,0.01013866,0.0002516147,0.00008708477,3.83735e-8,0.000005104637,0.000122133,0.9554136,8.920472e-7,0.03230525,0.0009659239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823599,0.006978424,0.006686402,0.00008078716,0.002615506,0.0008114625,0.0002565764,0.0001617374,0.00004923247],"genre_scores_gemma":[0.9920279,0.00389835,0.002329243,0.00052265,0.0008704234,0.00008031696,0.000006370314,0.0002195618,0.00004519458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03306464,"threshold_uncertainty_score":0.9994287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092503668673623,"score_gpt":0.2201133649992485,"score_spread":0.1991883283125123,"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."}}