{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173735,0.0002239687,0.0003142773,0.0005128972,0.0001130819,0.0002590258,0.0002272415,0.0005420948,0.01183437],"category_scores_gemma":[0.0002972644,0.0000452233,0.0003242927,0.0003880174,0.0001482097,0.0003666418,0.0002127845,0.0004692963,0.00268658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328194,"about_ca_system_score_gemma":0.0003915669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198703,"about_ca_topic_score_gemma":0.0005976178,"domain_scores_codex":[0.9999107,0.00002312003,0.00001067473,0.00001438226,0.00003044635,0.00001061487],"domain_scores_gemma":[0.9998966,0.00003792367,0.00002928154,0.000003741287,0.00001809223,0.00001422546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007465941,0.0001100646,0.0005615887,0.006419961,0.0001007648,0.0008126732,0.00002347888,0.0003214217,0.01642985,0.004703394,0.04419658,0.9255737],"study_design_scores_gemma":[0.0005996673,0.001626501,0.004032917,0.001718216,0.0002390657,0.006364226,0.0000371251,0.0004855049,0.01233564,0.005103877,0.9674366,0.00002060642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0182087,0.916476,0.00408732,0.01693582,0.002227633,0.0002734863,0.001083457,0.0001825051,0.04052519],"genre_scores_gemma":[0.1490999,0.7799051,0.008680194,0.01530343,0.003059003,0.0003601412,0.003188859,0.00004457028,0.04035877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01183437,"threshold_uncertainty_score":0.03958994,"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."}}