{"id":"W2938176367","doi":"10.5430/jst.v9n2p1","title":"Radiomic assessment of the progression of acoustic neuroma after gamma knife stereotactic radiosurgery","year":2019,"lang":"en","type":"article","venue":"Journal of Solid Tumors","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Arkansas for Medical Sciences","keywords":"Radiosurgery; Medicine; Acoustic neuroma; Univariate analysis; Nuclear medicine; Receiver operating characteristic; Univariate; Magnetic resonance imaging; Gamma knife; Neuroma; Radiology; Audiology; Surgery; Multivariate analysis; Mathematics; Multivariate statistics; Internal medicine; Radiation therapy; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002761471,0.0001968947,0.0002096687,0.0007699039,0.0001325121,0.0002696683,0.000149092,0.000179572,0.0009919382],"category_scores_gemma":[0.00155618,0.00007706185,0.0001360644,0.0002267812,0.0001830378,0.0002093383,0.0001650842,0.00015512,0.0002397548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432983,"about_ca_system_score_gemma":0.0001238194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009678164,"about_ca_topic_score_gemma":0.001035743,"domain_scores_codex":[0.9998484,0.00003163268,0.00001798909,0.00002705723,0.00005143705,0.0000234289],"domain_scores_gemma":[0.9991497,0.000138988,0.0003902375,0.00003596382,0.0001793025,0.0001059236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009304914,0.00006554006,0.9739549,0.00003208614,0.00004643149,0.0005046432,0.0001236846,0.0002174442,0.01089046,0.00001053562,0.00009490722,0.01312904],"study_design_scores_gemma":[0.000005380396,0.0004426439,0.9962326,0.000003008958,0.00002336074,0.001339036,0.00008117584,0.0002144955,0.001525622,0.00001123264,0.000116495,0.000004899896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992341,0.0001423247,0.0001774411,0.00000755247,0.000002443818,0.000007093658,0.00007526294,0.00000711969,0.0003465847],"genre_scores_gemma":[0.9996504,0.00004420937,0.0001161409,0.000003981181,0.000005737604,0.000004670016,0.00008469192,0.000001409058,0.00008887216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009919382,"threshold_uncertainty_score":0.003318369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143393445947369,"score_gpt":0.3025183744248292,"score_spread":0.2910844399653555,"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."}}