{"id":"W2519828822","doi":"10.1038/bjc.2016.293","title":"Biomarker analyses in REGARD gastric/GEJ carcinoma patients treated with VEGFR2-targeted antibody ramucirumab","year":2016,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"National Center for Advancing Translational Sciences; Eli Lilly and Company","keywords":"Ramucirumab; Medicine; Biomarker; Immunohistochemistry; Internal medicine; Cancer; Oncology; Vascular endothelial growth factor; Angiogenesis; Gastroenterology; VEGF receptors; 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":[0.0004122652,0.000265518,0.0007181632,0.0004624632,0.000312161,0.0009029877,0.0001990764,0.0004245287,0.0008853438],"category_scores_gemma":[0.0007548691,0.0001616108,0.0004596313,0.0004869017,0.0001913698,0.0002912812,0.0001945787,0.0005443194,0.0002219495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005037099,"about_ca_system_score_gemma":0.0003376847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280664,"about_ca_topic_score_gemma":0.002025534,"domain_scores_codex":[0.9997137,0.00004438013,0.00003390809,0.00007395592,0.00006499015,0.00006895763],"domain_scores_gemma":[0.9997645,0.00004631643,0.00005771488,0.00001705069,0.00006081413,0.00005370632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01997091,0.0004091193,0.8737062,0.0003016093,0.0008323611,0.002298516,0.0003377974,0.0007449423,0.03456963,0.0002205956,0.001598154,0.06501024],"study_design_scores_gemma":[0.0003428915,0.004636534,0.9665118,0.00007323371,0.001366757,0.004705725,0.0004639917,0.002077275,0.01078229,0.0002804488,0.008704936,0.00005422352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948012,0.003196522,0.0001162118,0.0001276105,0.00004586118,0.0000189919,0.0003278821,0.000019268,0.001346458],"genre_scores_gemma":[0.9982283,0.0003374151,0.0002103637,0.0001578787,0.00002865984,0.00001568044,0.0004344978,0.000004671247,0.000582607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280664,"threshold_uncertainty_score":0.003654659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679233508746564,"score_gpt":0.2990996342063467,"score_spread":0.282307299118881,"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."}}