{"id":"W2332966141","doi":"10.1055/s-0035-1546603","title":"Radiological Prediction of Skull Base Meningioma Consistency for Endoscopic Resection","year":2015,"lang":"en","type":"article","venue":"Journal of Neurological Surgery Part B Skull Base","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Skull; Meningioma; Radiological weapon; Consistency (knowledge bases); Resection; Medicine; Base (topology); Radiology; Surgery; Computer science; Artificial intelligence; Mathematics","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":[0.002850063,0.0002383311,0.0009747755,0.0003780102,0.00008840371,0.00002163348,0.000128589,0.0002073282,0.0001740044],"category_scores_gemma":[0.004355337,0.0001634862,0.0005950337,0.000315315,0.0001632826,0.000167823,0.00005786484,0.000383837,0.000007299727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005685577,"about_ca_system_score_gemma":0.0001777466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000287433,"about_ca_topic_score_gemma":3.157353e-7,"domain_scores_codex":[0.9967203,0.0004787999,0.001424176,0.0003366404,0.0006407595,0.0003993059],"domain_scores_gemma":[0.9964492,0.001317806,0.0008250313,0.0002898674,0.0005714164,0.000546686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03950175,0.004076996,0.5819236,0.000696492,0.0008990279,0.02496637,0.0002317395,0.0007473086,0.03855145,0.001195056,0.3010016,0.006208562],"study_design_scores_gemma":[0.03186517,0.1206736,0.4690318,0.001321353,0.003777766,0.04039315,0.0006237759,0.01648448,0.02983177,0.005397721,0.2791705,0.001428785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935173,0.0004984268,0.0009182416,0.002370509,0.001544078,0.0004675256,0.00002646012,0.00004351799,0.0006139223],"genre_scores_gemma":[0.9971106,0.00004527756,0.001469144,0.0003851777,0.000750485,0.00002848864,0.00002716323,0.00001635436,0.0001673134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1165967,"threshold_uncertainty_score":0.6666774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147199177279179,"score_gpt":0.2942892178097611,"score_spread":0.1470900405305822,"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."}}