{"id":"W4281751456","doi":"10.1200/jco.2022.40.16_suppl.9579","title":"Leveraging personalized circulating tumor DNA (ctDNA) for detection and monitoring of molecular residual disease in high-risk melanoma.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Medicine; Internal medicine; Circulating tumor DNA; Oncology; Liquid biopsy; Melanoma; Adjuvant therapy; Stage (stratigraphy); Clinical endpoint; Prospective cohort study; Clinical trial; Cancer; Cancer research","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":[0.0005706325,0.0001943363,0.0002084206,0.0003967262,0.0001127203,0.0004071537,0.0001903658,0.0002896956,0.001091627],"category_scores_gemma":[0.0006348913,0.0001555053,0.0001394443,0.0002838506,0.0001438557,0.0002127559,0.0002040268,0.0002735383,0.0004359762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731315,"about_ca_system_score_gemma":0.0002038369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003877998,"about_ca_topic_score_gemma":0.0008797516,"domain_scores_codex":[0.9997988,0.0000465743,0.00001308286,0.00006495702,0.00005734017,0.00001917721],"domain_scores_gemma":[0.9996701,0.00007710248,0.0001263951,0.00003289348,0.00004183698,0.00005163035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005005021,0.0005078238,0.6735569,0.0003934624,0.0001373275,0.0005803618,0.0001890372,0.001927569,0.1821615,0.0002043071,0.001607745,0.133729],"study_design_scores_gemma":[0.0003726224,0.006747574,0.857165,0.00006297642,0.0002372498,0.004867814,0.0001396046,0.00975064,0.1096443,0.0004181033,0.0105659,0.00002818167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923734,0.002539081,0.002294263,0.0001028554,0.00001679296,0.00009798189,0.001300965,0.00007541129,0.001199236],"genre_scores_gemma":[0.9947597,0.0006048677,0.002477765,0.0000817006,0.00001422724,0.00005887795,0.001129562,0.00001042232,0.0008627646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091627,"threshold_uncertainty_score":0.003651857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04163592212643591,"score_gpt":0.3640225426712534,"score_spread":0.3223866205448175,"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."}}