{"id":"W2766321139","doi":"10.1016/j.ijrobp.2017.06.2454","title":"Estimating Survival in Melanoma Patients With Brain Metastases: An Update of the Graded Prognostic Assessment for Melanoma Using Molecular Markers (Melanoma-molGPA)","year":2017,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":210,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Melanoma; Medicine; Oncology; Internal medicine; Melanoma diagnosis; Dermatology; Cancer research","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":[0.003960033,0.0008151904,0.0009773648,0.001954852,0.0002307268,0.00137082,0.001180872,0.0004520452,0.0009143123],"category_scores_gemma":[0.01181639,0.0002437731,0.001284683,0.001811163,0.0001530506,0.001029242,0.0009461638,0.0009715275,0.0005069245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000702986,"about_ca_system_score_gemma":0.001108887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00928782,"about_ca_topic_score_gemma":0.02066627,"domain_scores_codex":[0.9990678,0.0003107823,0.0001821212,0.0001493116,0.0002384988,0.00005138367],"domain_scores_gemma":[0.9935549,0.002446038,0.0009075907,0.0004917095,0.002317101,0.0002826918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002351023,0.00006508407,0.4129887,0.0007494579,0.0007217681,0.00007991245,0.000130083,0.002651045,0.0006375151,0.000560386,0.01458979,0.5665913],"study_design_scores_gemma":[0.0001455421,0.0006858332,0.8326501,0.002524622,0.003276158,0.002216637,0.0004441577,0.03191911,0.002793846,0.005809494,0.1173705,0.0001640333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532276,0.2153482,0.1499694,0.009723,0.002477146,0.000973816,0.04120765,0.001292428,0.02578074],"genre_scores_gemma":[0.7488155,0.0793689,0.1231686,0.001789401,0.001509061,0.0008781711,0.03976871,0.0003388844,0.004362902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00928782,"threshold_uncertainty_score":0.02094287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097683410684401,"score_gpt":0.3380605260336211,"score_spread":0.317083691926777,"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."}}