{"id":"W6940063114","doi":"10.6084/m9.figshare.c.7485425.v1","title":"Leveraging large-scale datasets and single cell omics data to develop a polygenic score for cisplatin-induced ototoxicity","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"","keywords":"Genome-wide association study; Hearing loss; Cohort; Ototoxicity; Genetic variants; Polygenic risk score; Genetic association; Precision medicine; Association (psychology); Single-nucleotide polymorphism","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":[0.003370067,0.001006163,0.0007802938,0.002833743,0.0005581221,0.001471292,0.0006072616,0.0005511327,0.002197379],"category_scores_gemma":[0.005554392,0.0002445178,0.001653605,0.002695615,0.0004013473,0.0003930338,0.001798098,0.0008567958,0.0003716027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177739,"about_ca_system_score_gemma":0.0009670426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0040271,"about_ca_topic_score_gemma":0.007231986,"domain_scores_codex":[0.9985144,0.000454989,0.0001478655,0.0005236145,0.0002548837,0.0001044091],"domain_scores_gemma":[0.9963936,0.001903953,0.0007334165,0.0003947026,0.000333303,0.0002409411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005958123,0.0001408078,0.8669883,0.0005813995,0.004009907,0.0007388194,0.0001986337,0.02354337,0.04644913,0.001643474,0.002860975,0.05224933],"study_design_scores_gemma":[0.0001184443,0.0005054082,0.8859088,0.000153553,0.002387282,0.0009806086,0.0002499227,0.0806473,0.008758351,0.01124723,0.008936351,0.0001067751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.817684,0.001449435,0.1449263,0.0008374192,0.00007252683,0.0002663279,0.03198413,0.0008932416,0.001886631],"genre_scores_gemma":[0.920299,0.0004944009,0.05524867,0.0003870697,0.00005000177,0.0002712558,0.02249732,0.0001445509,0.0006076649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0040271,"threshold_uncertainty_score":0.0178228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025528562452546,"score_gpt":0.2740556798424197,"score_spread":0.1715028235971652,"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."}}