{"id":"W4292684654","doi":"10.1016/j.ijrobp.2022.08.040","title":"A Comparison of 2 Disease Burden Assessment Methods (3D Volume Versus the Number of Lesions) for Prognostication of Survival in Metastatic Melanoma: Implications for the Characterization of Oligometastatic Disease","year":2022,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Positive Living North","funders":"Yonsei University College of Medicine; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Medicine; Interquartile range; Lymph node; Primary tumor; Melanoma; Clinical endpoint; Radiology; Cohort; Metastatic melanoma; Internal medicine; Oncology; Metastasis; Nuclear medicine; Cancer; Clinical trial","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":[0.001285433,0.0001127088,0.0004916708,0.0001706922,0.00007967323,0.000005718498,0.0003133545,0.00002996769,0.00004899351],"category_scores_gemma":[0.0008996138,0.00008378651,0.0002443625,0.0002685151,0.0001594762,0.00007223259,0.00007373774,0.0001602511,2.836676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829837,"about_ca_system_score_gemma":0.0005750014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000184561,"about_ca_topic_score_gemma":0.000002770756,"domain_scores_codex":[0.9978899,0.0004724198,0.001114562,0.0001419499,0.0002702283,0.0001109303],"domain_scores_gemma":[0.9943624,0.002318033,0.002175334,0.0002055483,0.0008782396,0.00006046655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01133349,0.004121125,0.530313,0.000383206,0.002568695,0.000002718016,0.001890519,0.01664739,0.03975036,0.08848511,0.0002044511,0.3043],"study_design_scores_gemma":[0.01133952,0.002939375,0.8154156,0.00008760422,0.002884703,0.00002133805,0.001639624,0.1409121,0.00175839,0.01052996,0.01227811,0.0001936956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5546048,0.0001872149,0.434029,0.007116173,0.001339716,0.001830806,0.0008402694,0.000007633191,0.00004435274],"genre_scores_gemma":[0.9868773,0.00009809127,0.01213359,0.00005582978,0.0001646037,0.0002926089,0.0003322235,0.00001544991,0.00003029582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322725,"threshold_uncertainty_score":0.3416715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615572977068591,"score_gpt":0.4433532182789613,"score_spread":0.3817959205721023,"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."}}