{"id":"W4408553729","doi":"10.1101/2025.03.17.643783","title":"ImmuniT Platform for Improved Neoantigen Prediction in Lung Cancer","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Lung cancer; Computer science; Medicine; Computational biology; Oncology; Biology","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":[0.001051158,0.0008552945,0.0005320979,0.000944917,0.0002209813,0.0009363752,0.000600393,0.0006698827,0.003693927],"category_scores_gemma":[0.001176772,0.0003776712,0.0004733884,0.00025189,0.0001326986,0.0004820511,0.001037368,0.0007639789,0.001745691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554327,"about_ca_system_score_gemma":0.0004905091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008015644,"about_ca_topic_score_gemma":0.001302657,"domain_scores_codex":[0.9995973,0.00005636026,0.00002273309,0.0001352192,0.0001401354,0.00004825491],"domain_scores_gemma":[0.999691,0.00009323938,0.0000553731,0.00003094385,0.00008939004,0.00004006132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003638798,0.0006555708,0.04424186,0.0008180413,0.0003165028,0.0006265148,0.000182277,0.01378772,0.6465541,0.001678573,0.02027055,0.2672296],"study_design_scores_gemma":[0.0002578644,0.002150526,0.03048038,0.00013638,0.0003476205,0.001431118,0.0001089235,0.4299984,0.5002941,0.002660554,0.03199036,0.0001437238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7223032,0.007657221,0.2182877,0.001490075,0.0004978342,0.0009831293,0.01085515,0.02660615,0.01131944],"genre_scores_gemma":[0.7916051,0.001506189,0.1848513,0.001249856,0.0002193426,0.0007071361,0.0117539,0.0007029949,0.007404122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003693927,"threshold_uncertainty_score":0.01235747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192752768204733,"score_gpt":0.2358402324867905,"score_spread":0.2239127048047432,"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."}}