{"id":"W4295452672","doi":"10.1007/978-1-0716-2712-9_12","title":"A High-Throughput Strategy for T-Cell Receptor Cloning and Expression","year":2022,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases","keywords":"T-cell receptor; Cloning (programming); clone (Java method); Biology; Gene; Plasmid; Computational biology; Expression cloning; Molecular biology; Genetics; T cell; Computer science; Peptide sequence; Immune system","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":[0.001195595,0.001425213,0.001551606,0.001138941,0.0009455388,0.001993102,0.001663676,0.001029498,0.004236103],"category_scores_gemma":[0.0009742721,0.001089101,0.001364616,0.001056848,0.00057477,0.0007560127,0.001339393,0.00303503,0.006969559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007932826,"about_ca_system_score_gemma":0.00111125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409149,"about_ca_topic_score_gemma":0.003207111,"domain_scores_codex":[0.9983774,0.0003140942,0.0001071078,0.0003170525,0.0006591892,0.0002250601],"domain_scores_gemma":[0.9995148,0.0001878612,0.00003961061,0.0001329755,0.00007385268,0.00005090427],"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":[0.0001556133,0.0002040075,0.0001661037,0.0001605372,0.0000621044,0.0001230608,0.00008196375,0.0006005773,0.9635465,0.002312433,0.004753006,0.02783406],"study_design_scores_gemma":[0.00007060474,0.0002856464,0.0008847351,0.00002374314,0.0001032534,0.0006047913,0.00005080495,0.005506939,0.9497574,0.001717635,0.0409367,0.00005773978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05702774,0.003041704,0.9187961,0.001170773,0.000504045,0.001662859,0.004833712,0.003512466,0.009450565],"genre_scores_gemma":[0.2340569,0.004905056,0.7143107,0.0008483549,0.0002283772,0.002981844,0.01845186,0.001121703,0.02309516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004236103,"threshold_uncertainty_score":0.01417118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06091080793435086,"score_gpt":0.4576712093672733,"score_spread":0.3967604014329224,"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."}}