{"id":"W2971114084","doi":"10.1097/pgp.0000000000000631","title":"Practical Guidance for Measuring and Reporting Surgical Margins in Vulvar Cancer","year":2019,"lang":"en","type":"article","venue":"International Journal of Gynecological Pathology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Margin (machine learning); Medicine; Surgical margin; Basal cell; Vulvar cancer; Medical physics; Pathology; Surgery; Radiology; Resection; Computer science; Vulva","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":[0.07832137,0.001374054,0.001151629,0.00731077,0.001811489,0.003457168,0.003469428,0.006403536,0.01822276],"category_scores_gemma":[0.2124607,0.001081245,0.001773366,0.003096145,0.002128417,0.005420374,0.004374844,0.003789661,0.02124284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822858,"about_ca_system_score_gemma":0.008131452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004636839,"about_ca_topic_score_gemma":0.007008281,"domain_scores_codex":[0.8891096,0.08001852,0.01589497,0.001976182,0.01114969,0.001851012],"domain_scores_gemma":[0.7835303,0.1339178,0.01712581,0.0114349,0.04907927,0.004911837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002866736,0.0004633985,0.01399355,0.005847801,0.00003917945,0.00180679,0.0161171,0.000907337,0.004196142,0.003734075,0.4460708,0.506537],"study_design_scores_gemma":[0.0001909716,0.0008077788,0.03140522,0.0197829,0.00006314588,0.005168012,0.02382468,0.003066755,0.003959913,0.01839843,0.8929917,0.0003404609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04648724,0.04933674,0.3860002,0.3468975,0.01857827,0.03061151,0.01140307,0.01377532,0.09691013],"genre_scores_gemma":[0.06425187,0.02490865,0.8244375,0.03481366,0.003747362,0.02721809,0.003934091,0.001150633,0.01553821],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07832137,"threshold_uncertainty_score":0.4142079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124501646644141,"score_gpt":0.4196800796403727,"score_spread":0.3072299149759587,"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."}}