{"id":"W4404515472","doi":"10.1016/bs.mcb.2024.10.017","title":"Retrovirus-based manufacturing of chimeric antigen receptor-modified T cells for cancer therapy research","year":2024,"lang":"en","type":"article","venue":"Methods in cell biology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"European Research Council; Hector Stiftung; Elitenetzwerk Bayern; José Carreras Leukämie-Stiftung; Ludwig-Maximilians-Universität München; Deutsche Forschungsgemeinschaft; Fritz-Bender-Stiftung; Bundesministerium für Bildung und Forschung; Deutsche Krebshilfe; Wilhelm Sander-Stiftung; Else Kröner-Fresenius-Stiftung; Bayerische Forschungsstiftung; Melanoma Research Alliance","keywords":"Biology; Retrovirus; Chimeric antigen receptor; Antigen; Cancer therapy; Virology; Cancer; Computational biology; Immunology; Cancer research; Immunotherapy; Genetics; Virus","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":[0.0008801939,0.0005220287,0.000417236,0.0005193346,0.000290129,0.001008182,0.0007440598,0.000923335,0.001341628],"category_scores_gemma":[0.0006247343,0.0004418919,0.0006333928,0.0003947365,0.0003878335,0.0003794303,0.0004061336,0.001580689,0.00101047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004199719,"about_ca_system_score_gemma":0.0003064116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002717237,"about_ca_topic_score_gemma":0.0003756382,"domain_scores_codex":[0.9993049,0.0001731185,0.00006691289,0.0001027847,0.0002769743,0.00007525314],"domain_scores_gemma":[0.9996978,0.00008608314,0.00006784144,0.00007324351,0.00004423753,0.00003090363],"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":[0.0000563402,0.00002913438,0.0000481035,0.00003776822,0.000008962759,0.00004520742,0.00003187493,0.0003279841,0.9962898,0.0007544936,0.00007233847,0.002298073],"study_design_scores_gemma":[0.00001937061,0.0001594615,0.00009348572,0.000004635921,0.00001824728,0.0001242599,0.000009048983,0.0009125544,0.9947407,0.0001144712,0.003798655,0.000005098321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6335426,0.005269024,0.3490319,0.0004367688,0.0006877455,0.001195395,0.001409988,0.001051655,0.007374827],"genre_scores_gemma":[0.8213347,0.002339815,0.1678525,0.0001868325,0.00006943995,0.0004372835,0.001562952,0.0002385343,0.005977964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001341628,"threshold_uncertainty_score":0.004655004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141829973803693,"score_gpt":0.5361122738648615,"score_spread":0.3219292764844922,"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."}}