{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003787022,0.00049726,0.0002869876,0.000302402,0.0001659543,0.0004869138,0.0005712547,0.0004202918,0.002235322],"category_scores_gemma":[0.0002103373,0.0003143447,0.0002772295,0.0003070801,0.0002738715,0.0002715919,0.000373089,0.0009706967,0.001384962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395309,"about_ca_system_score_gemma":0.0003206778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005770552,"about_ca_topic_score_gemma":0.0009248195,"domain_scores_codex":[0.9997923,0.00003860778,0.0000177499,0.00004725467,0.00006194242,0.00004209713],"domain_scores_gemma":[0.9998577,0.00002433452,0.0000408129,0.00003312921,0.00002052904,0.00002356498],"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":[0.00006807692,0.00003906984,0.0001095273,0.00003982002,0.000009879193,0.00006438186,0.00002591138,0.0003751953,0.9938147,0.001115806,0.0002624575,0.004075129],"study_design_scores_gemma":[0.00001328376,0.00007379662,0.0003206478,0.000003605831,0.00001365616,0.0001015776,0.000009672055,0.001163517,0.9872218,0.00007664024,0.01099788,0.000003962754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7075103,0.001505257,0.2759334,0.0002985939,0.0002389792,0.0007282255,0.002518222,0.001633796,0.009633206],"genre_scores_gemma":[0.876492,0.001469668,0.09334004,0.0001781351,0.00003932727,0.0003470436,0.004162802,0.0005285844,0.0234424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002235322,"threshold_uncertainty_score":0.00747788,"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."}}