{"id":"W2569047031","doi":"10.5489/cuaj.4293","title":"Can individualized sunitinib dose and schedule changes optimize outcomes for kidney cancer patients?","year":2016,"lang":"en","type":"review","venue":"Canadian Urological Association Journal","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Sunitinib; Schedule; Medicine; Oncology; Cancer; Urology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009994208,0.0003165531,0.00135763,0.0006923909,0.0001588772,0.00066742,0.0007283926,0.0005849914,0.003030014],"category_scores_gemma":[0.002302351,0.0001197585,0.0009955163,0.0007300531,0.0002088116,0.0008473958,0.0002602296,0.001003631,0.0004054882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866846,"about_ca_system_score_gemma":0.001179656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239595,"about_ca_topic_score_gemma":0.008299208,"domain_scores_codex":[0.9997321,0.00009274807,0.00005405589,0.00003210571,0.00006601048,0.00002297873],"domain_scores_gemma":[0.9995461,0.0002706801,0.00009419049,0.000008395787,0.00006229609,0.00001833906],"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":[0.0002208649,0.00006715773,0.000738613,0.02081621,0.0004328789,0.00005757303,0.00004246267,0.0004650295,0.0002219631,0.001153196,0.01350745,0.9622766],"study_design_scores_gemma":[0.0008656591,0.0009696438,0.01773831,0.05651338,0.003785328,0.002373545,0.0003871816,0.0006443292,0.0008413805,0.005686217,0.9101195,0.0000755442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005590155,0.9976444,0.0001007631,0.00088361,0.00009660963,0.000009115679,0.00003067443,0.000004372842,0.0006713172],"genre_scores_gemma":[0.007255289,0.9912986,0.0004323051,0.0004852038,0.0001707308,0.00001821281,0.00006383308,0.000002654828,0.000273136],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003030014,"threshold_uncertainty_score":0.01013637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05652435596631345,"score_gpt":0.317553856221732,"score_spread":0.2610295002554185,"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."}}