{"id":"W4390272381","doi":"10.3390/cancers16010127","title":"Prognostic Value of Baseline 18F-FDG PET/CT to Predict Brain Metastasis Development in Melanoma Patients","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Brain metastasis; Melanoma; Positron emission tomography; Stage (stratigraphy); Histopathology; Radiology; Metastasis; Retrospective cohort study; Nuclear medicine; Lymph node; Oncology; Cancer; Internal medicine; Pathology","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":[0.0005002117,0.0001804574,0.00038919,0.0002910851,0.00003500195,0.000005828092,0.00008575668,0.000007980657,0.0001467259],"category_scores_gemma":[0.0005128293,0.0001503768,0.00007986712,0.0007834174,0.00003324197,0.00003397781,0.00005956887,0.00008491121,0.00007853282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562371,"about_ca_system_score_gemma":0.00072482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003631361,"about_ca_topic_score_gemma":0.0001713763,"domain_scores_codex":[0.9984444,0.00008408436,0.0004116287,0.0003288868,0.0003865413,0.0003444721],"domain_scores_gemma":[0.9991821,0.0001938474,0.00008016843,0.000246542,0.00008518064,0.0002121478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007402846,0.0005747239,0.8175926,0.0007812248,0.001067002,0.002940167,0.001322987,0.005833747,0.000212683,0.0002278162,0.03679542,0.1319114],"study_design_scores_gemma":[0.008808825,0.001925641,0.9056581,0.001056582,0.0004469654,0.0000709738,0.0006476481,0.002364058,0.008192114,0.00004840965,0.07031502,0.0004656506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971614,0.0001517883,0.00008056294,0.0009097213,0.0001912307,0.001055555,0.0001525535,0.00005532212,0.0002418854],"genre_scores_gemma":[0.9945449,0.00002654788,0.003773702,0.000609885,0.00003149309,0.0002613054,0.0003508473,0.00002979579,0.0003714794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1314457,"threshold_uncertainty_score":0.6132186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070705504964827,"score_gpt":0.2819239601891175,"score_spread":0.2612169051394693,"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."}}