{"id":"W4385578285","doi":"10.1093/noajnl/vdad070.093","title":"SDPS-39 AN UPDATED VALIDATION OF PREDICTIVE ALGORITHMS FOR BRAIN METASTASES IN NON-SMALL CELL LUNG CANCER: SYSTEMATIC REVIEW AND INDEPENDENT COHORTVALIDATION ANALYSIS","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Cohort; Logistic regression; Internal medicine; Lung cancer; Stage (stratigraphy); Algorithm; Oncology; Cohort study; Retrospective cohort study","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":[0.001527492,0.0001597327,0.001091365,0.0004475547,0.00005936257,0.00001084745,0.0001077149,0.00007909863,0.00002550809],"category_scores_gemma":[0.0008663241,0.0001340155,0.00009505037,0.0009402299,0.00007873934,0.0001809064,0.0000381804,0.0002354368,6.818419e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008168191,"about_ca_system_score_gemma":0.0001044771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006509047,"about_ca_topic_score_gemma":0.00004326098,"domain_scores_codex":[0.9980926,0.0004291665,0.0006478883,0.0004005742,0.0002102657,0.0002194946],"domain_scores_gemma":[0.9983773,0.0006892541,0.000465394,0.000208841,0.000153397,0.0001058793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007527072,0.001314063,0.459035,0.3931251,0.00363207,0.0003242927,0.003557773,0.05408347,0.06434578,0.0001302134,0.002366922,0.01733262],"study_design_scores_gemma":[0.008365102,0.003034546,0.04347986,0.01069249,0.04228896,0.00008633469,0.001537185,0.8701881,0.01817481,0.0002278229,0.001228419,0.0006963565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465988,0.01689373,0.02552916,0.004584479,0.000346165,0.005645589,0.0001722362,0.0001294903,0.0001003903],"genre_scores_gemma":[0.9762051,0.01460175,0.003971871,0.002215236,0.00009730515,0.001235367,0.001524136,0.00004769348,0.0001015467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8161047,"threshold_uncertainty_score":0.5464995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434902415651468,"score_gpt":0.3522009977580432,"score_spread":0.3378519736015285,"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."}}