{"id":"W2554762370","doi":"10.1038/srep36694","title":"Aflibercept and Ang1 supplementation improve neoadjuvant or adjuvant chemotherapy in a preclinical model of resectable breast cancer","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Cure Brain Cancer Foundation; University of Toronto","keywords":"Medicine; Bevacizumab; Aflibercept; Adjuvant; Breast cancer; Oncology; Neoadjuvant therapy; Chemotherapy; Internal medicine; Angiopoietin receptor; Triple-negative breast cancer; Cancer; Angiogenesis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005756893,0.000103707,0.000162944,0.00005039455,0.00004675919,0.00002333849,0.00007214471,0.00008609124,0.0002101516],"category_scores_gemma":[0.00003093141,0.00006455215,0.00005974394,0.0001038484,0.0001846825,0.00001249705,0.00006731993,0.00002544514,5.707872e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506836,"about_ca_system_score_gemma":0.0002518381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000993719,"about_ca_topic_score_gemma":0.0004505005,"domain_scores_codex":[0.9986148,0.00002436097,0.0004049658,0.000570533,0.0001744295,0.0002108843],"domain_scores_gemma":[0.9992319,0.000009635784,0.0001960441,0.0003877602,0.0001106079,0.00006409626],"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":[0.0002439169,0.00006166242,0.02784714,0.00001745924,0.00001634838,0.000005193572,0.00008241761,0.00003800059,0.9334313,0.000004315787,0.005924386,0.03232782],"study_design_scores_gemma":[0.001666595,0.0002080173,0.02281364,0.0001376365,0.00002273694,0.00006750309,0.0000950732,0.0008548456,0.9632748,0.0006355735,0.009934284,0.0002893027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974974,0.0006063324,0.0005087981,0.0003893262,0.0005556999,0.0002405218,0.00009096746,0.000004699464,0.0001062462],"genre_scores_gemma":[0.9930982,0.0005507421,0.000499764,0.00005918536,0.00007786229,0.00005746793,0.00002783212,0.00001508211,0.005613884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03203852,"threshold_uncertainty_score":0.263236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529667789105944,"score_gpt":0.3276227198816092,"score_spread":0.3023260419905498,"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."}}