{"id":"W3100017981","doi":"10.1161/circ.142.suppl_3.14410","title":"Abstract 14410: A Machine Learning Approach to Predicting Risk of Anthracycline Cardiotoxicity in Pediatric Cancer Survivors","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; London Health Sciences Centre; McMaster Children's Hospital; Children's Hospital of Eastern Ontario; University Health Network; Hospital for Sick Children; Princess Margaret Cancer Centre; Montreal Heart Institute","funders":"","keywords":"Cardiotoxicity; Medicine; Anthracycline; Oncology; Internal medicine; Ejection fraction; Odds ratio; Doxorubicin; Cancer; Bioinformatics; Cardiology; Heart failure; Breast cancer; Chemotherapy; Biology","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":[0.0026917,0.001033419,0.0009881242,0.001634403,0.0003778129,0.0007417331,0.0008935631,0.0008974723,0.001979609],"category_scores_gemma":[0.004383252,0.0002420851,0.001023587,0.0008905291,0.0002593886,0.0003163573,0.0005236948,0.001156684,0.0005488058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005276552,"about_ca_system_score_gemma":0.001047277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00506552,"about_ca_topic_score_gemma":0.003947107,"domain_scores_codex":[0.9991513,0.0004172749,0.00005618655,0.0001942238,0.0001170787,0.00006379023],"domain_scores_gemma":[0.9981462,0.001326295,0.0001705598,0.00005734374,0.0001966564,0.0001029832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002045037,0.001216016,0.4857453,0.000283838,0.001883372,0.0007692645,0.0001396874,0.1829165,0.00634158,0.001048833,0.009867272,0.3077435],"study_design_scores_gemma":[0.0001231522,0.0006849475,0.04733638,0.00006845713,0.0002639118,0.000364461,0.00006768799,0.9461395,0.001078922,0.002612533,0.001226725,0.00003341219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7760326,0.00341878,0.2077719,0.001928598,0.000231168,0.0003829086,0.006217651,0.001759881,0.002256533],"genre_scores_gemma":[0.9353877,0.0006392399,0.05449053,0.0003735232,0.0001909385,0.0003633429,0.006729907,0.00006975535,0.001755127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00506552,"threshold_uncertainty_score":0.01423526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755149990959962,"score_gpt":0.2728177632113259,"score_spread":0.2452662633017263,"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."}}