{"id":"W4361190375","doi":"10.1080/13816810.2023.2191707","title":"Oncologist-led germline genetic testing for uveal melanoma","year":2023,"lang":"en","type":"article","venue":"Ophthalmic Genetics","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Hospital for Sick Children; University Health Network; Toronto General Hospital; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"BAP1; Germline; Genetic testing; Medicine; Germline mutation; Oncology; Genotype; Cancer; Cohort; Genetic counseling; Internal medicine; Genetics; Mutation; Gene; 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":[0.0005146681,0.0001318409,0.0001508469,0.0005605569,0.000565224,0.000386656,0.0002762582,0.000230784,0.0008005183],"category_scores_gemma":[0.00332968,0.0001138382,0.0001060463,0.00031587,0.000281038,0.000215294,0.000460178,0.0002756376,0.0001872305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799749,"about_ca_system_score_gemma":0.0005282424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003981865,"about_ca_topic_score_gemma":0.00659,"domain_scores_codex":[0.9993174,0.0002033659,0.00004622486,0.0001411894,0.000185718,0.0001061367],"domain_scores_gemma":[0.9985961,0.0003359136,0.0004355752,0.0001041129,0.0001949905,0.0003332353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006033824,0.00006047287,0.9891232,0.000006806319,0.000004777677,0.002024496,0.0002564415,0.00005918609,0.001293115,0.00002424683,0.0001867945,0.006900222],"study_design_scores_gemma":[0.00001677124,0.0005748686,0.9676794,0.00002106879,0.00002459243,0.0262562,0.0009551454,0.0007641396,0.001950344,0.00009606231,0.001649937,0.00001136953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986336,0.0001455698,0.0002639422,0.00006447083,0.000004868313,0.00002204652,0.00006423738,0.00001565826,0.0007855485],"genre_scores_gemma":[0.9992676,0.00006628904,0.0003773495,0.00006667567,0.000006973998,0.000007282499,0.00005471441,0.000003782956,0.0001492458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003981865,"threshold_uncertainty_score":0.007917345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06512753853166171,"score_gpt":0.3533337346023718,"score_spread":0.2882061960707101,"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."}}