{"id":"W3169739440","doi":"10.1200/jco.2021.39.15_suppl.12063","title":"Integration of a polygenic risk score of kidney function with cumulative cisplatin dose and time variables for the prediction of serum platinum levels.","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of British Columbia; University Health Network","funders":"National Institutes of Health","keywords":"Medicine; Cisplatin; Interquartile range; Renal function; Internal medicine; Oncology; Cumulative dose; Kidney disease; Cohort; Urology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004988635,0.000981372,0.0008487611,0.001891525,0.0004084843,0.001023816,0.0009223612,0.000767428,0.003125567],"category_scores_gemma":[0.008331613,0.0004285314,0.003924885,0.002576865,0.0003420759,0.0005494098,0.0007871797,0.001168465,0.0003941818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005147362,"about_ca_system_score_gemma":0.001270387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008698839,"about_ca_topic_score_gemma":0.009471562,"domain_scores_codex":[0.9974715,0.001448723,0.0001291543,0.0005912857,0.0002013046,0.0001580781],"domain_scores_gemma":[0.9936433,0.003895495,0.001022127,0.0007399881,0.000307205,0.0003917945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001685552,0.0000744829,0.9746232,0.00005307136,0.004429285,0.0001168573,0.00003920872,0.004449429,0.0007464229,0.0002417452,0.0006750395,0.01286584],"study_design_scores_gemma":[0.0001786537,0.00100212,0.8587922,0.00004421602,0.005268645,0.000492212,0.00007139987,0.1300075,0.0007181381,0.001628003,0.001745213,0.0000517769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654595,0.002228566,0.02642616,0.0005872822,0.000115007,0.00009349336,0.00391293,0.0002574627,0.0009197053],"genre_scores_gemma":[0.9928734,0.0002007351,0.004884258,0.0000499208,0.00004365812,0.00005727592,0.001334613,0.00002873383,0.0005274667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008698839,"threshold_uncertainty_score":0.02638274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144732215286759,"score_gpt":0.3955783974105072,"score_spread":0.2811051758818313,"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."}}