{"id":"W1973471572","doi":"10.1158/0008-5472.can-12-4183","title":"A Model of Postsurgical Advanced Metastatic Breast Cancer More Accurately Replicates the Clinical Efficacy of Antiangiogenic Drugs","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Pfizer; Eli Lilly and Company","keywords":"Medicine; Pazopanib; Sunitinib; Metastatic breast cancer; Bevacizumab; Oncology; Breast cancer; Internal medicine; Cancer; Clinical trial; Chemotherapy; Phases of clinical research","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":[0.00133497,0.0009106221,0.001070051,0.0007718943,0.0004210861,0.0009478899,0.0007470378,0.0008961034,0.003670622],"category_scores_gemma":[0.0006356185,0.000310742,0.00061778,0.0004592551,0.0006827624,0.0007333659,0.0003886271,0.002327155,0.0009699881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107372,"about_ca_system_score_gemma":0.001622038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547368,"about_ca_topic_score_gemma":0.005039443,"domain_scores_codex":[0.9992797,0.0002636424,0.00006460392,0.0001249494,0.0001677244,0.00009943087],"domain_scores_gemma":[0.9993048,0.0001921782,0.0001377409,0.0001664124,0.00007299156,0.0001259503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002996489,0.006301343,0.00629918,0.0007206877,0.0001929107,0.0003889673,0.0001456634,0.01206204,0.9425893,0.007060158,0.00429612,0.01694718],"study_design_scores_gemma":[0.003087084,0.05136867,0.03333617,0.0002228909,0.000631173,0.003534699,0.0004214289,0.06231768,0.7451515,0.006358204,0.09341048,0.0001600719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8907807,0.006799932,0.07639252,0.002185558,0.0007104549,0.002487993,0.005522863,0.0006506067,0.01446946],"genre_scores_gemma":[0.9573381,0.003491128,0.028152,0.0004858788,0.0001038171,0.002079868,0.003336404,0.00008888445,0.004923897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003670622,"threshold_uncertainty_score":0.01227951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618788651908566,"score_gpt":0.5499455557350358,"score_spread":0.2880666905441792,"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."}}