{"id":"W4404348241","doi":"10.1245/s10434-024-16434-y","title":"ASO Visual Abstract: Are Positive Biopsy Margins in Melanoma Significant? A Cohort Study of Micro- Versus Macroscopic Margin Status and Their Impact on Residual Disease and Survival","year":2024,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Surgical oncology; Margin (machine learning); Overall survival; Biopsy; Melanoma; Cohort; Residual; Oncology; Internal medicine; Cancer research","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":[0.000651159,0.0002582122,0.0002367249,0.0004635034,0.0002676349,0.0006881311,0.000396835,0.0004721471,0.01206979],"category_scores_gemma":[0.004346782,0.000201335,0.0004905685,0.0005053241,0.0001658983,0.0005010124,0.0003493935,0.0005281863,0.001106012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681306,"about_ca_system_score_gemma":0.000294466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476953,"about_ca_topic_score_gemma":0.002912666,"domain_scores_codex":[0.9997241,0.00007224926,0.00002677905,0.00006184712,0.00006591162,0.00004908236],"domain_scores_gemma":[0.9980986,0.0004921954,0.0005836705,0.000139031,0.0002593427,0.0004270803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001895952,0.0001102973,0.9848645,0.00006385214,0.0001704199,0.0001273009,0.0000657528,0.0000493181,0.0004332004,0.00004979411,0.005467225,0.006702444],"study_design_scores_gemma":[0.00005664789,0.0003378224,0.9976494,0.00002130372,0.000129368,0.000245174,0.0001624635,0.0001231835,0.00009609297,0.00008375002,0.001086728,0.000008084407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907904,0.000975628,0.0001444409,0.0008261654,0.0003659837,0.00002432497,0.004215561,0.00001433708,0.002643164],"genre_scores_gemma":[0.9958202,0.0002023238,0.00005584722,0.0001492841,0.0002773171,0.00001358233,0.0009128594,0.000008061177,0.002560635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206979,"threshold_uncertainty_score":0.0403775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03577008672806413,"score_gpt":0.3698645549480339,"score_spread":0.3340944682199698,"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."}}