{"id":"W2161858196","doi":"10.1097/01.sla.0000152014.89434.96","title":"Histopathologic Excision Margin Affects Local Recurrence Rate","year":2005,"lang":"en","type":"letter","venue":"Annals of Surgery","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Margin (machine learning); 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":[0.0008861881,0.0001505803,0.0001998747,0.000298429,0.00008009312,0.0002819706,0.0001864141,0.0002664796,0.003573902],"category_scores_gemma":[0.007343212,0.00007941193,0.0003272506,0.00026502,0.0001868634,0.0002360194,0.0001752725,0.0002197498,0.0005495892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252462,"about_ca_system_score_gemma":0.0001147897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004161256,"about_ca_topic_score_gemma":0.0007013715,"domain_scores_codex":[0.9994826,0.0001930787,0.0000666958,0.0001021045,0.000104877,0.00005060881],"domain_scores_gemma":[0.9938054,0.002657364,0.002871134,0.0001613788,0.0002941906,0.000210611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004594076,0.00003381903,0.9851239,0.00006812147,0.00005893296,0.0002143839,0.00002575428,0.0002619089,0.0007278451,0.00001606846,0.0002031651,0.01280665],"study_design_scores_gemma":[0.00001134282,0.000209072,0.9969747,0.00003375152,0.00008303281,0.001430383,0.00003732036,0.0003448129,0.0003954121,0.00003572437,0.0004398254,0.000004632683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934993,0.004443684,0.0003431875,0.0001122078,0.00002275703,0.00001244344,0.0001859701,0.00001816128,0.001362337],"genre_scores_gemma":[0.9991597,0.0003429291,0.0001035464,0.00002317396,0.00001782038,0.00000419518,0.0001182232,0.000004765182,0.0002255658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003573902,"threshold_uncertainty_score":0.01195586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1687206722497975,"score_gpt":0.3243572628910341,"score_spread":0.1556365906412366,"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."}}