{"id":"W4385555807","doi":"10.1245/s10434-023-14020-2","title":"ASO Visual Abstract: Impact of Surgical Margin Width on Prognosis Following Resection of Hepatocellular Carcinoma Varies Based on Preoperative Alpha-Feto Protein and Tumor Burden Score","year":2023,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Surgical oncology; Medicine; Hepatocellular carcinoma; Margin (machine learning); Surgical margin; Resection; Alpha (finance); Surgical resection; Oncology; Carcinoma; Internal medicine; Radiology; Surgery","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":[0.0005288934,0.0003700093,0.0003935792,0.0006524104,0.0001578566,0.0007650593,0.000295906,0.0005406402,0.04847194],"category_scores_gemma":[0.004117994,0.00009314468,0.0004398389,0.0004928558,0.0001318158,0.0004261715,0.0003629915,0.0003669802,0.004584173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200692,"about_ca_system_score_gemma":0.0003170055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161956,"about_ca_topic_score_gemma":0.006059946,"domain_scores_codex":[0.9998143,0.00004018136,0.00002340399,0.00003108112,0.00005858454,0.00003239325],"domain_scores_gemma":[0.9981537,0.0006680284,0.0003159641,0.00005501692,0.000393882,0.0004134161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01039349,0.0002358898,0.7015539,0.0007238619,0.0003624364,0.000316004,0.00007439219,0.0004750077,0.00179222,0.000141492,0.1866191,0.09731212],"study_design_scores_gemma":[0.0003867473,0.0006319262,0.9829245,0.0001812129,0.0002829077,0.0004978034,0.0001999214,0.001117474,0.0004713623,0.0003320725,0.0129341,0.00004000674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867,0.008075311,0.001431433,0.01649492,0.009039737,0.0001831337,0.05984866,0.0004499553,0.03747682],"genre_scores_gemma":[0.9518948,0.001739278,0.0007067675,0.001681819,0.004824248,0.00005402618,0.01381433,0.0001173524,0.02516731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04847194,"threshold_uncertainty_score":0.1621547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872893371869952,"score_gpt":0.3442635188553509,"score_spread":0.3055345851366514,"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."}}