{"id":"W2162200636","doi":"10.1634/theoncologist.2013-0160","title":"Bevacizumab for Advanced Breast Cancer: Hope, Hype, and Hundreds of Headlines","year":2013,"lang":"en","type":"article","venue":"The Oncologist","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; Queen's University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Bevacizumab; Breast cancer; Newspaper; Headline; Food and drug administration; Family medicine; Clinical trial; Metastatic breast cancer; Cancer; Oncology; Internal medicine; Advertising; Pharmacology; Chemotherapy","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":[0.00007924684,0.00009869097,0.0002841339,0.00002865633,0.00007117541,0.000005875123,0.0000701094,0.00005316589,0.0003223216],"category_scores_gemma":[0.00001832364,0.00005983742,0.00005270457,0.00008673441,0.0002586606,0.00004458381,0.00003192684,0.00006826576,0.000007621676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008574445,"about_ca_system_score_gemma":0.0001162272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153661,"about_ca_topic_score_gemma":0.0003295299,"domain_scores_codex":[0.9994471,0.00002168075,0.0001631618,0.0001352501,0.00006278857,0.0001699903],"domain_scores_gemma":[0.9994004,0.000174997,0.00009200111,0.0001401177,0.0001330585,0.00005940235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005077244,0.0009428392,0.03313624,0.0003779768,0.0005137204,0.000009850852,0.0006863078,0.00005152452,0.06055148,0.0006691035,0.07775521,0.8202285],"study_design_scores_gemma":[0.05334011,0.01148618,0.6463051,0.0003328731,0.002811851,0.0008181471,0.001700645,0.001700477,0.03436203,0.004389536,0.2419548,0.0007982104],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680918,0.002661607,0.00001557358,0.02542095,0.0002286085,0.001183284,0.0000898693,0.00003120216,0.002277103],"genre_scores_gemma":[0.9934361,0.001386139,0.0004638228,0.0008707684,0.0002570283,0.0004964293,0.00001485462,0.00001267979,0.003062208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8194303,"threshold_uncertainty_score":0.3529196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457483905182569,"score_gpt":0.3578842586752508,"score_spread":0.3333094196234251,"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."}}