{"id":"W4401690600","doi":"10.1101/2024.08.19.608538","title":"Metabolization of microbial postbiotic pentanoate drives anti-cancer CAR T cells","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Calgary","funders":"Instituto de Salud Carlos III; European Regional Development Fund; Horizon 2020 Framework Programme; National Cancer Institute; National Institutes of Health; Ministerio de Ciencia e Innovación; Memorial Sloan-Kettering Cancer Center; Lietuvos Mokslo Taryba; Austrian Science Fund; Centro de Investigación Biomédica en Red de Cáncer; European Commission","keywords":"Crosstalk; Epigenetics; Metabolite; Immunity; Biology; Chemistry; Cancer research; Computational biology; Cell biology; Genetics; Immune system; Gene; Biochemistry; Engineering; Electronic engineering","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":[0.0001264401,0.000250671,0.0001922913,0.0001296844,0.0001001987,0.0004133031,0.00009205374,0.0002242947,0.002584375],"category_scores_gemma":[0.0001096423,0.000111189,0.0001937511,0.0001008431,0.0001454111,0.0001663078,0.0002849317,0.0006554046,0.0006531547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173384,"about_ca_system_score_gemma":0.0001890944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002150667,"about_ca_topic_score_gemma":0.0004692464,"domain_scores_codex":[0.9998684,0.00002469001,0.000007288879,0.00003882484,0.00002777805,0.00003301941],"domain_scores_gemma":[0.9999565,0.000005734929,0.00001056502,0.000006285482,0.000006971794,0.00001397656],"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":[0.0002276611,0.00003223091,0.0004234882,0.00004111909,0.000006411427,0.00005407338,0.00002795428,0.0001415897,0.9949281,0.0002106913,0.0001034743,0.00380317],"study_design_scores_gemma":[0.00002592425,0.000518402,0.00350797,0.000007531879,0.00002216945,0.0002023707,0.00007779023,0.001511139,0.9883985,0.0001829952,0.005540429,0.000004839038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883786,0.001605843,0.006365899,0.0002894654,0.00006419588,0.00004818823,0.0004774181,0.0001237384,0.002646712],"genre_scores_gemma":[0.9942688,0.0004545458,0.001918772,0.0001278564,0.00001287157,0.00002842141,0.0003284914,0.00003059586,0.00282952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002584375,"threshold_uncertainty_score":0.008645594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171991688476267,"score_gpt":0.2696200321042862,"score_spread":0.2524208632566595,"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."}}