{"id":"W3032215633","doi":"10.1097/md.0000000000020165","title":"A nomogram to predict metastasis of soft tissue sarcoma of the extremities","year":2020,"lang":"en","type":"article","venue":"Medicine","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"National Cancer Institute","keywords":"Nomogram; Medicine; Soft tissue sarcoma; Univariate analysis; Logistic regression; Metastasis; Sarcoma; Soft tissue; Radiology; Internal medicine; Oncology; Pathology; Multivariate analysis; Cancer","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":[],"consensus_categories":[],"category_scores_codex":[0.0001340398,0.000143962,0.0005743762,0.00006992454,0.00002548652,0.000001528317,0.0001488478,0.00003737643,0.0005245427],"category_scores_gemma":[0.0004758917,0.00007663963,0.000106953,0.0004399456,0.0001904937,0.0000172337,0.00007835584,0.00008744319,0.00001040206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002244391,"about_ca_system_score_gemma":0.00004895997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000219439,"about_ca_topic_score_gemma":0.00001450733,"domain_scores_codex":[0.9987536,0.00004246341,0.0003891586,0.0001920075,0.0004625284,0.0001602195],"domain_scores_gemma":[0.9990513,0.0001602679,0.0001164582,0.0003668413,0.0001055466,0.0001995419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005524655,0.001123235,0.6187754,0.0007935666,0.0008509121,0.0001448477,0.008745317,0.00001834025,0.0322603,0.0006103861,0.06716122,0.268964],"study_design_scores_gemma":[0.008401905,0.006501683,0.5865329,0.001864606,0.002444288,0.0001025315,0.002848162,0.0001955348,0.1986546,0.0001391394,0.1920738,0.0002408998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8911352,0.006592826,0.0003270947,0.09741368,0.0001975989,0.001092104,0.00006036682,0.00005093933,0.003130169],"genre_scores_gemma":[0.9963155,0.00005921081,0.0006351509,0.002585202,0.0001999219,0.00003895473,0.000009641002,0.0000170216,0.0001394183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2687231,"threshold_uncertainty_score":0.5743375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229829052733692,"score_gpt":0.2944422033062598,"score_spread":0.2521439127789228,"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."}}