{"id":"W4415900261","doi":"10.1136/jitc-2025-sitc2025.0658","title":"658 KAN-001, a defined live biotherapeutic product (LBP) for NSCLC, enhances ICI response in preclinical models and demonstrates manufacturing consistency and strain-resolved viability","year":2025,"lang":"","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"University of Texas MD Anderson Cancer Center","keywords":"Consistency (knowledge bases); Product (mathematics); New product development; Selection (genetic algorithm); Manufacturing process","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":[0.000128363,0.0002582584,0.0001782939,0.0001765306,0.000117924,0.0002871318,0.0002332444,0.0003288268,0.00277751],"category_scores_gemma":[0.0001019272,0.0001095448,0.0001990645,0.0001167212,0.0002019643,0.0001725809,0.0001355002,0.0007667204,0.001013276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000293642,"about_ca_system_score_gemma":0.0003111808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008561837,"about_ca_topic_score_gemma":0.001464364,"domain_scores_codex":[0.9998943,0.00001266549,0.000006663427,0.00001954853,0.00004146733,0.00002531114],"domain_scores_gemma":[0.9999119,0.00001445188,0.00002355721,0.0000101402,0.00001438531,0.00002551011],"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":[0.0002004706,0.0001058957,0.0001110058,0.00003300119,0.000003424665,0.00001891171,0.00001292457,0.0000691896,0.9947601,0.00006452453,0.0001915927,0.004428891],"study_design_scores_gemma":[0.00006380738,0.001766592,0.002191793,0.000007839731,0.00001530597,0.000201121,0.00002785306,0.0005357537,0.991217,0.00002762155,0.003940039,0.000005202508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849933,0.001753839,0.005393018,0.0002690405,0.00007859553,0.00008605662,0.0009109341,0.0003482137,0.006166978],"genre_scores_gemma":[0.9848375,0.0008623237,0.005500181,0.0001209427,0.00001412687,0.00004982837,0.001705875,0.00006045124,0.006848756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00277751,"threshold_uncertainty_score":0.009291708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02538065797244054,"score_gpt":0.2998519849065107,"score_spread":0.2744713269340702,"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."}}