{"id":"W4210397134","doi":"10.1038/s41551-021-00820-y","title":"Efficient recovery of potent tumour-infiltrating lymphocytes through quantitative immunomagnetic cell sorting","year":2022,"lang":"en","type":"article","venue":"Nature Biomedical Engineering","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Cell sorting; Immunomagnetic separation; Flow cytometry; Cell; Tumor-infiltrating lymphocytes; Cancer research; Potency; T cell; Chemistry; Immunology; Biology; Molecular biology; Immunotherapy; In vitro; Immune system; 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":[0.0005298907,0.0004990888,0.0004325805,0.0003685204,0.0002172296,0.000876071,0.0004421445,0.000561669,0.002110289],"category_scores_gemma":[0.0003489604,0.0001951965,0.0002312677,0.0002712614,0.0003401359,0.0003258792,0.0006379851,0.001317748,0.001416284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362587,"about_ca_system_score_gemma":0.0002826602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003606007,"about_ca_topic_score_gemma":0.0008194974,"domain_scores_codex":[0.9994453,0.0000880198,0.00003044852,0.00007529013,0.0002318069,0.0001290356],"domain_scores_gemma":[0.9998451,0.0000523918,0.00002132828,0.00002848683,0.00002959885,0.00002311245],"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":[0.00005947581,0.0000290366,0.00005114906,0.00003249496,0.000003149605,0.00001360583,0.00002120261,0.0001449852,0.994918,0.0004351501,0.0002127351,0.004079068],"study_design_scores_gemma":[0.00001665739,0.0000640491,0.0002388698,0.000003518816,0.0000062613,0.00006353945,0.000008658172,0.002277781,0.99405,0.0001138983,0.003152631,0.00000406444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6862692,0.003304659,0.2960702,0.001110696,0.0002358966,0.0006128929,0.00130135,0.002353923,0.008741144],"genre_scores_gemma":[0.9340148,0.001289794,0.05376746,0.000304891,0.00006878334,0.0003391924,0.001028681,0.0002176895,0.008968657],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002110289,"threshold_uncertainty_score":0.007059693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051781438049039,"score_gpt":0.2729824301814051,"score_spread":0.2624646158009147,"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."}}