{"id":"W2087733415","doi":"10.1517/14712598.2011.592490","title":"Emepepimut-S for non-small cell lung cancer","year":2011,"lang":"en","type":"article","venue":"Expert Opinion on Biological Therapy","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Immunotherapy; Medicine; MUC1; Clinical trial; Lung cancer; Oncology; Cancer; Cancer vaccine; Immune system; Drug; Cancer immunotherapy; Internal medicine; Immunology; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216674,0.0002000871,0.0001682578,0.00002349936,0.00009686367,0.00001486605,0.000264846,0.0002228075,0.0001311175],"category_scores_gemma":[0.00001260448,0.0001296478,0.0001609727,0.00004250047,0.00003190748,0.000003253087,0.00005073581,0.00006669632,0.000006906344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009104231,"about_ca_system_score_gemma":0.00002412867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495063,"about_ca_topic_score_gemma":5.841738e-7,"domain_scores_codex":[0.9991561,0.00002690477,0.0002185746,0.0002824778,0.00004834639,0.0002675793],"domain_scores_gemma":[0.9995078,0.00001441291,0.00008644207,0.0002771314,0.00005144847,0.00006279052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002843992,0.0010214,0.006774335,0.0000192584,0.000233218,5.318932e-7,0.001667356,0.00001627229,0.8738215,0.0008870088,0.03713711,0.075578],"study_design_scores_gemma":[0.001667527,0.002025312,0.002745597,0.0000142935,3.35906e-7,0.000001321325,0.0001805124,0.0003380792,0.4576929,0.00008107191,0.5349233,0.0003298211],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530647,0.02861947,0.008425273,0.000358873,0.001239586,0.001411149,0.00004847042,0.00005213653,0.006780323],"genre_scores_gemma":[0.8531846,0.1365048,0.005064188,0.003373071,0.0007622143,0.0006577873,0.0002340606,0.00003368731,0.0001856015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4977861,"threshold_uncertainty_score":0.5286885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08542551647419659,"score_gpt":0.3144552494110044,"score_spread":0.2290297329368078,"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."}}