{"id":"W2474647303","doi":"10.21037/atm.2016.06.25","title":"Complete response after treatment with first-line targeted anti-vascular endothelial growth factor therapy in metastatic renal cancer: what next?","year":2016,"lang":"en","type":"letter","venue":"Annals of Translational Medicine","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Xiangya Hospital, Central South University; Central South University","keywords":"Medicine; Cohort; Vascular endothelial growth factor; Oncology; Internal medicine; Targeted therapy; Vascular access; Overall survival; Population; VEGF receptors; Cancer; Surgery; Urology; Hemodialysis","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":[0.002535805,0.0002336376,0.001091805,0.0004171762,0.0008781624,0.001373092,0.0006442367,0.005850857,0.001322604],"category_scores_gemma":[0.011958,0.0001543061,0.0003553295,0.0008112276,0.0007346989,0.001410759,0.0002849051,0.004028129,0.001778795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529651,"about_ca_system_score_gemma":0.0007759361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093362,"about_ca_topic_score_gemma":0.002644208,"domain_scores_codex":[0.9983176,0.0006493797,0.0002915902,0.0001608736,0.0004012846,0.0001793397],"domain_scores_gemma":[0.9944023,0.003145986,0.0007359945,0.0002037993,0.0008730229,0.0006387511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.001922071,0.0006469797,0.09342839,0.0005311881,0.000128286,0.0324984,0.0006278186,0.0004976263,0.002408186,0.003305557,0.5803327,0.2836728],"study_design_scores_gemma":[0.001825882,0.004105534,0.1481474,0.001919111,0.0004081237,0.1505427,0.002487966,0.006875709,0.004520217,0.0276922,0.6511561,0.000319127],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03471955,0.01490914,0.0007780926,0.9363423,0.006987243,0.00005487583,0.0003328749,0.00008157339,0.005794358],"genre_scores_gemma":[0.2927836,0.02033168,0.001892657,0.5637984,0.1146579,0.0001122148,0.0003670737,0.00005855272,0.005997886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005850857,"threshold_uncertainty_score":0.01341081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066496827814677,"score_gpt":0.3234302152026433,"score_spread":0.2167805324211756,"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."}}