{"id":"W2536114475","doi":"10.3791/54697","title":"Generating &lt;em&gt;De Novo&lt;/em&gt; Antigen-specific Human T Cell Receptors by Retroviral Transduction of Centric Hemichain","year":2016,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Princess Margaret Cancer Foundation; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; Ontario Institute for Cancer Research","keywords":"T-cell receptor; Antigen; Biology; Transduction (biophysics); Cell biology; T cell; Chimeric antigen receptor; Cloning (programming); Computational biology; Molecular biology; Immunology; Immune system; Computer science; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001364362,0.000344283,0.0008401128,0.0005571923,0.0001577553,0.00005420328,0.0003246056,0.0002351549,0.004837936],"category_scores_gemma":[0.00007469705,0.000261489,0.0004398652,0.0004619066,0.0001319484,0.0002677601,0.00004633497,0.0003920485,0.00002032727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599784,"about_ca_system_score_gemma":0.0001839058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000102765,"about_ca_topic_score_gemma":0.000001215389,"domain_scores_codex":[0.9956583,0.0004055759,0.001383597,0.0003723549,0.001508971,0.0006711744],"domain_scores_gemma":[0.99791,0.00008768838,0.000820817,0.0003838576,0.0003709753,0.0004267174],"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":[0.001739859,0.0009219914,0.001181182,0.00004266517,0.0001992871,0.00005844215,0.002525834,0.00000250791,0.9728038,0.00001716086,0.01264288,0.00786435],"study_design_scores_gemma":[0.01038416,0.001676908,0.0001654708,0.0002919467,0.00003490371,0.0001501772,0.0007211725,0.00003022897,0.9469688,0.00001482393,0.03932165,0.0002397891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908782,0.00562518,0.001663679,0.0001457667,0.0007082964,0.0004094135,0.0000121428,0.00002896693,0.0005283947],"genre_scores_gemma":[0.9865761,0.004005203,0.002764751,0.00009785883,0.001099993,0.00001000293,0.00001936051,0.00010979,0.005316881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02667877,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315232736830054,"score_gpt":0.3764037305717227,"score_spread":0.3448804568887173,"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."}}