{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007563063,0.000344376,0.0002698952,0.001225006,0.0002685182,0.0006499735,0.0002988523,0.0004010564,0.001692],"category_scores_gemma":[0.006170582,0.0001557187,0.0004061414,0.0007249387,0.0003729823,0.0005415809,0.0003794929,0.0004303068,0.000250621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860937,"about_ca_system_score_gemma":0.0005337318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009583516,"about_ca_topic_score_gemma":0.001462419,"domain_scores_codex":[0.9996247,0.0000779547,0.00007319814,0.0000485164,0.0001233048,0.00005225621],"domain_scores_gemma":[0.9968065,0.0008119744,0.001544087,0.0001161995,0.000359249,0.0003620416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548753,0.0000204719,0.9970946,0.00001065748,0.00002345354,0.0002893764,0.00002183033,0.0001034809,0.0004810333,0.00001361912,0.00003980943,0.001746682],"study_design_scores_gemma":[0.000007364114,0.000230027,0.9954705,0.00002072171,0.00006523512,0.002352609,0.0002125872,0.0007443253,0.0005340767,0.00008001743,0.0002737278,0.000008792601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984776,0.0004546819,0.0002385084,0.00004979708,0.00001224851,0.00001172481,0.0001032078,0.000004894047,0.0006473241],"genre_scores_gemma":[0.9994465,0.0001128064,0.0002476868,0.000009147433,0.00001495158,0.000004929182,0.0001017085,0.000002085273,0.00006023315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001692,"threshold_uncertainty_score":0.005660295,"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."}}