{"id":"W4391990627","doi":"10.1055/s-0044-1779965","title":"Can Histopathological Features Predict Outcomes in Grade 2 Meningiomas?","year":2024,"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":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0009967834,0.0003814275,0.0003016309,0.001673051,0.0002786652,0.0007916148,0.0004850601,0.0005089195,0.001716294],"category_scores_gemma":[0.006580619,0.0001268489,0.0003755612,0.0009851786,0.0004980455,0.0008259365,0.0004096696,0.0004245674,0.0005607241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320929,"about_ca_system_score_gemma":0.0004784427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955201,"about_ca_topic_score_gemma":0.003891685,"domain_scores_codex":[0.999686,0.0000747505,0.00005980348,0.00003762087,0.00008477882,0.00005708611],"domain_scores_gemma":[0.9968536,0.0006553933,0.00141289,0.000147272,0.0004981775,0.0004325674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001476391,0.00001486204,0.9922343,0.00002214542,0.00003442008,0.0001606928,0.00002319289,0.0001016042,0.0001386797,0.00002194531,0.0002474061,0.006852955],"study_design_scores_gemma":[0.00001049258,0.0001506627,0.995416,0.00008697047,0.0001061466,0.001513517,0.0002717116,0.0006569419,0.0002737001,0.0005059605,0.0009955227,0.00001225386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911132,0.003857119,0.0004492493,0.0009585657,0.0001083764,0.00001958524,0.0007024308,0.00001824928,0.002773227],"genre_scores_gemma":[0.9982742,0.000683263,0.0002837051,0.00007246844,0.00009602432,0.000007282492,0.0004369806,0.000004581994,0.0001415532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955201,"threshold_uncertainty_score":0.005741537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0465119693197933,"score_gpt":0.280320078644511,"score_spread":0.2338081093247177,"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."}}