{"id":"W4404408828","doi":"10.1016/j.esmoop.2024.103978","title":"Bespoke ctDNA for longitudinal detection of molecular residual disease in high-risk melanoma patients","year":2024,"lang":"en","type":"article","venue":"ESMO Open","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbotsford Veterinary Clinic; Princess Margaret Cancer Centre; BC Cancer Agency; University of Toronto; University Health Network","funders":"","keywords":"Bespoke; Melanoma; Residual; Residual risk; Medicine; Internal medicine; Oncology; Dermatology; Cancer research; Computer science; Business; Algorithm","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":[0.0007109623,0.0002252599,0.0002432581,0.0007821684,0.0001603946,0.0004550423,0.0002437278,0.0003798795,0.001238662],"category_scores_gemma":[0.001482468,0.000128438,0.0001442879,0.0004126311,0.000144898,0.0002578333,0.0002712071,0.0003476655,0.0004985366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965496,"about_ca_system_score_gemma":0.00020757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784596,"about_ca_topic_score_gemma":0.0008385282,"domain_scores_codex":[0.9997037,0.0000849647,0.00002354734,0.00009811662,0.00006410482,0.00002548574],"domain_scores_gemma":[0.9990937,0.0002134294,0.0003852348,0.00006200188,0.0001257407,0.0001198098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001285593,0.0001195538,0.9546331,0.00004834514,0.00003521819,0.0001878293,0.0000838373,0.0002389822,0.01865038,0.00004398761,0.0004580547,0.02421511],"study_design_scores_gemma":[0.0000586066,0.001028138,0.9782233,0.00003549619,0.00005904221,0.001650153,0.000119523,0.003402351,0.01337779,0.0001543305,0.001875672,0.00001556842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996238,0.0009302812,0.001130416,0.0001090934,0.00001693348,0.00005477053,0.0007089055,0.00004739412,0.0007641517],"genre_scores_gemma":[0.9955761,0.0002538549,0.00294636,0.00009164959,0.00001697426,0.00005565194,0.0007027766,0.000006419011,0.0003501861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001238662,"threshold_uncertainty_score":0.004143775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00788301094561676,"score_gpt":0.2580673376940029,"score_spread":0.2501843267483861,"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."}}