{"id":"W4387036902","doi":"10.21203/rs.3.rs-3361804/v1","title":"Application of Diffusion Tensor Imaging of the Facial Nerve in Preoperative Planning for Large Vestibular Schwannoma","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Diffusion MRI; Schwannoma; Facial nerve; Cochrane Library; Vestibular system; Neuronavigation; Fractional anisotropy; Acoustic neuroma; Radiology; Magnetic resonance imaging; Meta-analysis; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01118258,0.0006855064,0.002255939,0.005211545,0.0002988099,0.001826159,0.0006955735,0.0008470317,0.001709518],"category_scores_gemma":[0.04380178,0.0003794526,0.00375916,0.003448681,0.0005343273,0.00148916,0.0007128841,0.0006235506,0.0001752736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009888503,"about_ca_system_score_gemma":0.003226917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003489607,"about_ca_topic_score_gemma":0.006512557,"domain_scores_codex":[0.994553,0.001958017,0.001802849,0.0003962569,0.001189982,0.00009992513],"domain_scores_gemma":[0.9596503,0.02859524,0.007944009,0.0006817557,0.002954524,0.0001741924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002505723,0.00009046811,0.04344773,0.4124242,0.02002415,0.0006021136,0.0004359123,0.001020043,0.002133649,0.0004993125,0.003632465,0.5131842],"study_design_scores_gemma":[0.001665396,0.003293246,0.1928441,0.5111871,0.2129697,0.006479733,0.001773117,0.002885726,0.007837943,0.003735568,0.05489478,0.0004335505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01045853,0.9864417,0.0009673813,0.0005093745,0.0002123909,0.0001494647,0.0004294983,0.00001262977,0.0008189598],"genre_scores_gemma":[0.2731664,0.7173373,0.006901002,0.0006477301,0.0006837542,0.0003574515,0.0005985604,0.0000199112,0.000288073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01118258,"threshold_uncertainty_score":0.05913985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504520102117505,"score_gpt":0.4763909987498768,"score_spread":0.3259389885381263,"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."}}