{"id":"W3111639845","doi":"10.3390/curroncol28010009","title":"Lung Metastasis Probability in Ewing Sarcoma: A Nomogram Based on the SEER Database","year":2020,"lang":"en","type":"article","venue":"Current Oncology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nomogram; Medicine; Receiver operating characteristic; Confidence interval; Metastasis; Logistic regression; Lasso (programming language); Oncology; Internal medicine; Multivariate analysis; Cancer; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007034698,0.0004928544,0.0008304066,0.003758234,0.0002513519,0.001273756,0.0004755512,0.0004260594,0.0006824567],"category_scores_gemma":[0.01546329,0.000160704,0.0009230474,0.002172078,0.0002726824,0.001093098,0.0007146986,0.000509051,0.0002511372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004513261,"about_ca_system_score_gemma":0.000434198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337485,"about_ca_topic_score_gemma":0.00151678,"domain_scores_codex":[0.9973027,0.001392799,0.0003600618,0.0004242482,0.000411506,0.0001087255],"domain_scores_gemma":[0.9904795,0.005837091,0.00188399,0.0005794327,0.0008645448,0.0003554367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002579682,0.00002432196,0.9755068,0.00007066536,0.0001886877,0.0001041993,0.0000561914,0.005102301,0.0002679538,0.0001945589,0.001007284,0.01721911],"study_design_scores_gemma":[0.00004784532,0.0002353291,0.8801589,0.0001076814,0.000478292,0.001258293,0.0002649207,0.1122872,0.0008019774,0.0008457638,0.003456515,0.00005723327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819843,0.001743281,0.009298356,0.000329348,0.00003003732,0.00008074223,0.005059862,0.00008162391,0.001392495],"genre_scores_gemma":[0.9928616,0.0004509797,0.003583503,0.00003670047,0.00002896075,0.00004974608,0.002924244,0.00001054056,0.00005375962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007034698,"threshold_uncertainty_score":0.03720349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2171540788497928,"score_gpt":0.4067187877523906,"score_spread":0.1895647089025979,"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."}}