{"id":"W4386784084","doi":"10.1158/1557-3265.aacrahns23-pr08","title":"Abstract PR08: Personalized therapeutic mRNA nano-vaccines are effective across multiple preclinical and translational models of head and neck cancer","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Immune system; Metastasis; Head and neck cancer; Immunotherapy; Head and neck squamous-cell carcinoma; Cancer research; Thyroid cancer; Lung cancer; Pathology; Oncology; Immunology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004510655,0.0003506816,0.0003612233,0.0002587126,0.0001468952,0.0003340148,0.0002887576,0.0005258472,0.00333158],"category_scores_gemma":[0.0001684938,0.0001277094,0.0002450405,0.0001394602,0.0003362412,0.0003584908,0.0002009426,0.00100325,0.00051701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004862758,"about_ca_system_score_gemma":0.0004615713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000697528,"about_ca_topic_score_gemma":0.001363738,"domain_scores_codex":[0.9997227,0.00004519452,0.00002206793,0.00005770168,0.00009595157,0.00005646778],"domain_scores_gemma":[0.999881,0.00001930758,0.00003609161,0.00001692772,0.00002414695,0.00002238529],"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":[0.0003950852,0.0003556942,0.0002565923,0.0001218643,0.00001284175,0.00003957724,0.00002641182,0.0002434528,0.9892045,0.0001983092,0.0005074698,0.008638331],"study_design_scores_gemma":[0.0001504405,0.009163194,0.003406168,0.00002241028,0.00005972849,0.0003810973,0.00004121881,0.001197203,0.9774155,0.00006866542,0.008085115,0.00000918579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863787,0.001807534,0.005954359,0.0003991908,0.0001109315,0.0004405923,0.0008481952,0.0002486139,0.003812005],"genre_scores_gemma":[0.9839407,0.001085872,0.006385653,0.0001633103,0.0000326686,0.0003527059,0.001318983,0.00004072464,0.006679345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00333158,"threshold_uncertainty_score":0.01114523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2238151996634967,"score_gpt":0.5364004730391201,"score_spread":0.3125852733756234,"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."}}