{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007450929,0.000869186,0.001152867,0.002210772,0.0002591627,0.001775962,0.0007752181,0.001110459,0.00137139],"category_scores_gemma":[0.01706756,0.0002919838,0.001087878,0.0008970363,0.0004438831,0.001480228,0.0009856838,0.0007660175,0.0003500761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000561665,"about_ca_system_score_gemma":0.0004564643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495051,"about_ca_topic_score_gemma":0.001903697,"domain_scores_codex":[0.9973205,0.001594626,0.0001771487,0.000294509,0.0005027711,0.000110495],"domain_scores_gemma":[0.9848354,0.01138896,0.001485446,0.000811991,0.0009956657,0.000482573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01939698,0.000314029,0.8731169,0.0002176874,0.001614602,0.00006303992,0.000332412,0.004780832,0.004886532,0.0006052267,0.0006800365,0.09399177],"study_design_scores_gemma":[0.0008083982,0.009742495,0.8734033,0.0001545146,0.00155767,0.0006594079,0.0006324483,0.1057714,0.002705343,0.002632209,0.001735954,0.0001969679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855214,0.003920785,0.007707254,0.0004535746,0.0001587525,0.00006417056,0.0007274089,0.00005200657,0.001394684],"genre_scores_gemma":[0.9946684,0.0004607135,0.003949557,0.00007208559,0.00009328212,0.00004154172,0.0003302033,0.00002429287,0.0003597501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007450929,"threshold_uncertainty_score":0.03940469,"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."}}