{"id":"W4362547372","doi":"10.1158/2767-9764.c.6551108.v1","title":"Data from Integrated, Longitudinal Analysis of Cell-free DNA in Uveal Melanoma","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Government of Ontario; Princess Margaret Cancer Foundation","keywords":"Epigenomics; Melanoma; Cancer research; DNA sequencing; CDKN2A; Enucleation; Oncology; Medicine; Biology; Computational biology; Internal medicine; DNA; Cancer; Gene; Genetics; DNA methylation; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001561631,0.0002189192,0.0003622074,0.0008705715,0.0003041475,0.0005839045,0.0002423236,0.0004597566,0.001153063],"category_scores_gemma":[0.004394184,0.0001353049,0.0003957123,0.0009726231,0.000292528,0.0002865294,0.0005740479,0.0005511059,0.0003901551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003976231,"about_ca_system_score_gemma":0.0003321074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167786,"about_ca_topic_score_gemma":0.00348284,"domain_scores_codex":[0.9991564,0.0002207573,0.00007918099,0.0002775468,0.0001911587,0.00007495704],"domain_scores_gemma":[0.9964725,0.00109768,0.0008307266,0.0006305973,0.00068756,0.0002810595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00106755,0.0001555802,0.8594694,0.0001422221,0.000406702,0.0002128987,0.0003967747,0.002160048,0.1039692,0.0001976096,0.0006812129,0.03114079],"study_design_scores_gemma":[0.00002758404,0.0005649413,0.9532377,0.00003504448,0.0001997099,0.0008922556,0.000250104,0.0064947,0.03450028,0.0003186556,0.003439032,0.00003998874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9885456,0.0006540779,0.006195499,0.00008571717,0.00001181573,0.0000277026,0.003953569,0.000088441,0.0004376759],"genre_scores_gemma":[0.9907409,0.0001560915,0.003686854,0.0000643333,0.00001328676,0.00004872252,0.004945448,0.00002726593,0.0003171132],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002167786,"threshold_uncertainty_score":0.00825876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09628407002662395,"score_gpt":0.3517022546491096,"score_spread":0.2554181846224857,"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."}}