{"id":"W3123374563","doi":"10.1097/mao.0000000000002883","title":"Predicting Long-Term Facial Nerve Outcomes After Resection of Vestibular Schwannoma","year":2020,"lang":"en","type":"article","venue":"Otology & Neurotology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Translabyrinthine approach; Schwannoma; Facial nerve; Surgery; Univariate analysis; Acoustic neuroma; Multivariate analysis; Retrospective cohort study; Vestibular system; Odds ratio; Neurosurgery; Radiation therapy; Radiology; Magnetic resonance imaging; Cerebellopontine angle; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005700503,0.0001891425,0.0001834533,0.0003743146,0.000203274,0.0003353805,0.0002153382,0.000227162,0.000951275],"category_scores_gemma":[0.002490905,0.00008748898,0.000250773,0.0003511772,0.0002223699,0.0004589626,0.0004204199,0.000245325,0.0001293401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710515,"about_ca_system_score_gemma":0.0002315142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518006,"about_ca_topic_score_gemma":0.004510369,"domain_scores_codex":[0.9997682,0.00004415373,0.0000368118,0.00003757455,0.00005145353,0.00006171929],"domain_scores_gemma":[0.9980764,0.0004257898,0.001034833,0.00004237348,0.0001604354,0.0002601638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008277124,0.00001120343,0.9986271,0.000003748908,0.00001194741,0.0000784963,0.00001190803,0.00004777556,0.00009755653,0.000001708852,0.00001926918,0.001006541],"study_design_scores_gemma":[0.000002427683,0.0001306523,0.9991502,0.000004757808,0.00001250719,0.000365717,0.0000952355,0.0001260902,0.00006722083,0.000006112292,0.00003712624,0.000001918175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996229,0.0001410746,0.00004059066,0.00001115449,0.00000259122,0.000002218284,0.00006782058,8.737201e-7,0.0001107412],"genre_scores_gemma":[0.999697,0.00005837105,0.00003705943,0.000005764451,0.000006950079,0.000002402421,0.0001608377,5.580241e-7,0.00003115891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001518006,"threshold_uncertainty_score":0.003182292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052266727780625,"score_gpt":0.2873214334707135,"score_spread":0.2567987661929073,"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."}}