{"id":"W2158500117","doi":"10.3174/ajnr.a3284","title":"Can 3T MR Angiography Replace DSA for the Identification of Arteries Feeding Intracranial Meningiomas?","year":2012,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Medicine; Radiology; Maximum intensity projection; Meningioma; Magnetic resonance angiography; Angiography; Nuclear medicine; Magnetic resonance imaging","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":[0.005515689,0.0006306911,0.000840424,0.001738648,0.000338306,0.0009272149,0.000705496,0.001455843,0.0008338975],"category_scores_gemma":[0.02789238,0.0004277586,0.0007662121,0.0008252835,0.001042544,0.001538449,0.0004599572,0.0007664479,0.0007884718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454201,"about_ca_system_score_gemma":0.0007178287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666709,"about_ca_topic_score_gemma":0.004017611,"domain_scores_codex":[0.9985977,0.000536275,0.0001610061,0.0001918025,0.0003909354,0.000122215],"domain_scores_gemma":[0.9895114,0.004552691,0.002670454,0.00112218,0.00171465,0.0004285235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001685407,0.0001400024,0.7577927,0.0002890518,0.000205648,0.005447343,0.0005227437,0.001363083,0.02082984,0.0001284577,0.0008784844,0.2107172],"study_design_scores_gemma":[0.0001695991,0.002482561,0.8840927,0.0006467095,0.0006130992,0.06814621,0.001363727,0.01935129,0.0157709,0.001855123,0.005355756,0.000152203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763041,0.007805695,0.01254281,0.001595972,0.0002709089,0.00003775498,0.0001160853,0.0001887584,0.001137922],"genre_scores_gemma":[0.9764112,0.003446252,0.01917565,0.0003818806,0.0002768713,0.00001777317,0.00009181214,0.00003141859,0.0001670935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005515689,"threshold_uncertainty_score":0.02917016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923418182122584,"score_gpt":0.2781526884980625,"score_spread":0.2589185066768366,"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."}}