{"id":"W2959222914","doi":"10.1097/dss.0000000000002029","title":"Cutaneous Leiomyosarcoma: A SEER Database Analysis","year":2019,"lang":"en","type":"article","venue":"Dermatologic Surgery","topic":"Vascular Tumors and Angiosarcomas","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Providence Health Care","funders":"","keywords":"Leiomyosarcoma; Atypical fibroxanthoma; Medicine; Angiosarcoma; Sarcoma; Neoplasm; Undifferentiated Pleomorphic Sarcoma; Wide local excision; Epidemiology; Pathology; Database; Soft tissue sarcoma; Immunohistochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002228692,0.0002035385,0.0008683792,0.0004841934,0.00005475593,0.00001691834,0.00009692882,0.0001008165,0.001299899],"category_scores_gemma":[0.0001188554,0.0001562288,0.0008465705,0.001000857,0.00004971864,0.00008295474,0.00007246525,0.0001736122,0.001063627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002624598,"about_ca_system_score_gemma":0.00008156028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003816289,"about_ca_topic_score_gemma":0.00000365894,"domain_scores_codex":[0.9984795,0.00008360102,0.0003596192,0.0003296843,0.0003351812,0.0004123922],"domain_scores_gemma":[0.99858,0.0003305771,0.0000984287,0.0007457392,0.00006720774,0.000178065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003803091,0.0001532303,0.9863273,0.00009113173,0.0007200198,0.004144089,0.00004228141,0.000008541127,0.0004704016,0.000130227,0.007473027,0.0004017167],"study_design_scores_gemma":[0.002229169,0.0001168633,0.77688,0.0003045291,0.005765321,0.05466777,0.001129696,0.007381009,0.007435175,0.0002431525,0.1421751,0.001672249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932628,0.0009863558,0.000222388,0.001243546,0.0002111727,0.0002064513,0.00001631009,0.0001754394,0.003675531],"genre_scores_gemma":[0.9960042,0.00006368772,0.0002961105,0.002167989,0.00004927627,0.00001197545,0.0003570816,0.00002038206,0.001029317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2094474,"threshold_uncertainty_score":0.9997141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579923862861143,"score_gpt":0.242141507592218,"score_spread":0.2263422689636065,"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."}}