{"id":"W2971215256","doi":"10.1093/noajnl/vdz011","title":"Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival","year":2019,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; University of California, San Francisco; National Institutes of Health","keywords":"Meningioma; Radiomics; Overall survival; Medicine; Radiology; Medical physics; Computer science; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000388641,0.0003322192,0.0007492705,0.0002149984,0.000157475,0.00002868431,0.000133861,0.0002174566,0.0000252469],"category_scores_gemma":[0.0001049102,0.0002596991,0.00006589732,0.0001952349,0.0004385684,0.0003858625,0.0001569286,0.0004841468,0.00000586813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000782663,"about_ca_system_score_gemma":0.00009074895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000206049,"about_ca_topic_score_gemma":0.00001378106,"domain_scores_codex":[0.9980336,0.0002700656,0.0003554759,0.00070221,0.0002414114,0.0003972676],"domain_scores_gemma":[0.9988067,0.0004444357,0.0002177287,0.000268553,0.00006414763,0.0001984567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005947471,0.00064262,0.6252967,0.001259358,0.0009725652,0.01573901,0.001795146,0.006696089,0.2226816,0.0602778,0.009182194,0.04950947],"study_design_scores_gemma":[0.06416903,0.04111287,0.3670404,0.001076052,0.002174742,0.06543028,0.009120319,0.2043217,0.01318438,0.06876612,0.1588197,0.004784417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884087,0.003425421,0.001656253,0.001099921,0.00053651,0.0007773744,0.000006995635,0.0001603307,0.003928477],"genre_scores_gemma":[0.9924102,0.0001861566,0.006477047,0.0003721461,0.0001172743,0.0000405485,0.00003483578,0.00002749356,0.0003343231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2582563,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755743291944198,"score_gpt":0.2629679026763677,"score_spread":0.2454104697569257,"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."}}