{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009131774,0.0006694893,0.0009073015,0.0007117267,0.0004974823,0.001033141,0.000991061,0.0008576752,0.006915784],"category_scores_gemma":[0.001164103,0.0005686865,0.0006564407,0.0004785061,0.0004966889,0.0003882796,0.0008781408,0.001139426,0.003388482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004953152,"about_ca_system_score_gemma":0.0006671104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007339298,"about_ca_topic_score_gemma":0.001928441,"domain_scores_codex":[0.9991455,0.00008051975,0.00003862849,0.0003826957,0.0002935822,0.00005910737],"domain_scores_gemma":[0.9995408,0.0001908729,0.00005232393,0.0001201595,0.00005685475,0.00003905845],"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":[0.0004420391,0.0001456298,0.004131252,0.0004037028,0.0001835306,0.0001881246,0.0001110673,0.008529188,0.9102458,0.004166028,0.01673025,0.05472337],"study_design_scores_gemma":[0.00009462477,0.0001788505,0.009479629,0.00004036233,0.00005333818,0.0002723955,0.0000497599,0.1092072,0.8228815,0.005382181,0.05224266,0.0001174253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.180186,0.001536257,0.6962319,0.000935019,0.001061858,0.0005763189,0.06620403,0.03985981,0.01340881],"genre_scores_gemma":[0.3267733,0.0006975528,0.6191631,0.001803851,0.0003487307,0.001855212,0.03270505,0.002962034,0.01369115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006915784,"threshold_uncertainty_score":0.0231356,"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."}}