{"id":"W4282943491","doi":"","title":"Time trends for drug specific adverse events in patients on sunitinib; implications for remote monitoring.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Sunitinib; Common Terminology Criteria for Adverse Events; Adverse effect; Renal cell carcinoma; Incidence (geometry); Cumulative incidence; Dosing; Internal medicine; Toxicity; Tyrosine-kinase inhibitor; Cancer; Cohort","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":[0.001357278,0.0001088074,0.0002192227,0.0004796018,0.0001495198,0.0003627754,0.0002209415,0.000201326,0.001815637],"category_scores_gemma":[0.006316842,0.00007224525,0.0004273613,0.001336788,0.00008352702,0.0003779669,0.0002048369,0.0004495136,0.0001913636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224943,"about_ca_system_score_gemma":0.0003468273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461152,"about_ca_topic_score_gemma":0.003069301,"domain_scores_codex":[0.999122,0.0002471808,0.0001669363,0.0001749264,0.000215794,0.00007307214],"domain_scores_gemma":[0.9894716,0.002244616,0.007059342,0.0001846175,0.0006975422,0.0003421862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002534715,0.00002266431,0.992377,0.00004726391,0.00003635737,0.00003787631,0.0000390533,0.0001112834,0.00008342604,0.00001283666,0.0001550985,0.006823688],"study_design_scores_gemma":[0.000004969749,0.0001655227,0.9988685,0.00001197849,0.00002622141,0.0001601589,0.00005008237,0.0003646186,0.00006568705,0.0000143924,0.0002653345,0.000002504976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934164,0.001680699,0.0004585107,0.0002399957,0.00001979434,0.00004378038,0.002448232,0.000024095,0.001668429],"genre_scores_gemma":[0.9988081,0.0001666539,0.0002541297,0.00003492296,0.00001224094,0.00001558184,0.0006094052,0.000002687966,0.0000963491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002461152,"threshold_uncertainty_score":0.007178009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737842127564817,"score_gpt":0.2683384264015969,"score_spread":0.2209600051259488,"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."}}