{"id":"W2921688293","doi":"10.1016/s2352-4642(19)30064-1","title":"Identifying new Wilms' tumour predisposition genes","year":2019,"lang":"en","type":"letter","venue":"The Lancet Child & Adolescent Health","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Wilms tumour; Wilms' tumor; Genetic predisposition; Gene; Genetics; Biology; Medicine; Oncology; Computational biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003748558,0.0004057538,0.0005169922,0.004056289,0.0003000969,0.001054036,0.0006067065,0.0006099946,0.006720774],"category_scores_gemma":[0.002282362,0.000193507,0.0006053221,0.003853999,0.0002575589,0.0007648446,0.0005710535,0.000603259,0.002151463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596739,"about_ca_system_score_gemma":0.0009088157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003730769,"about_ca_topic_score_gemma":0.006405178,"domain_scores_codex":[0.9997521,0.00002184812,0.00002484335,0.00005442954,0.0001084272,0.00003835627],"domain_scores_gemma":[0.9992342,0.0002609303,0.0001757444,0.00003459074,0.0001530388,0.000141488],"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":[0.0005899454,0.0001650945,0.3871335,0.004287434,0.0005507508,0.02473979,0.0008612287,0.0006489365,0.01602421,0.00554042,0.05626278,0.5031959],"study_design_scores_gemma":[0.0001793751,0.0002257424,0.4567242,0.002430232,0.001235831,0.05084966,0.001062805,0.0007841708,0.006521173,0.004681199,0.4752161,0.00008957468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.5697597,0.3541242,0.005053465,0.009819229,0.001408632,0.0003003332,0.01934057,0.0003819553,0.03981199],"genre_scores_gemma":[0.6432248,0.2695809,0.02050102,0.002905783,0.001467292,0.0001971918,0.04441676,0.0001709764,0.01753525],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.006720774,"threshold_uncertainty_score":0.02248323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205050851395221,"score_gpt":0.2763483275204583,"score_spread":0.2542978190065061,"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."}}