{"id":"W2804649716","doi":"10.1200/edbk_201215","title":"Personalized Management of Advanced Kidney Cancer","year":2018,"lang":"en","type":"review","venue":"American Society of Clinical Oncology Educational Book","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Kidney cancer; Medicine; Renal cell carcinoma; Context (archaeology); Cancer; Oncology; Translational research; Targeted therapy; Clear cell renal cell carcinoma; PI3K/AKT/mTOR pathway; Intensive care medicine; Internal medicine; Bioinformatics; Pathology; Biology; Signal transduction","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":[0.0004440417,0.0004349697,0.0007668535,0.001189364,0.0002353307,0.0007442597,0.0006026717,0.0006951559,0.003564298],"category_scores_gemma":[0.001069565,0.0001263485,0.0004726149,0.001091432,0.0003046743,0.001034533,0.0006344749,0.001876013,0.001482421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005784175,"about_ca_system_score_gemma":0.0008136736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007941842,"about_ca_topic_score_gemma":0.00174755,"domain_scores_codex":[0.9997774,0.00005160803,0.00002650379,0.00003075056,0.00009674022,0.00001701539],"domain_scores_gemma":[0.9996932,0.0001582641,0.0000363512,0.00000990525,0.00008136845,0.00002096413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002398652,0.00002973427,0.0001171327,0.009752139,0.00006263291,0.00009134725,0.00004625714,0.0002637499,0.0004057376,0.004155212,0.05684362,0.9282084],"study_design_scores_gemma":[0.000007753571,0.00003545497,0.0005107363,0.00361791,0.00004978423,0.000801951,0.00003444187,0.00008634721,0.0001443189,0.002456951,0.9922443,0.00001000075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008301947,0.9967412,0.0002012225,0.0009791963,0.0004919402,0.000004446702,0.00002077294,0.000008554575,0.001469672],"genre_scores_gemma":[0.0007121977,0.9973821,0.0002203567,0.000595727,0.0004130355,0.000005253325,0.00003458262,0.000001889299,0.0006348587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003564298,"threshold_uncertainty_score":0.01192379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1532459000252147,"score_gpt":0.526550103224348,"score_spread":0.3733042031991333,"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."}}