{"id":"W2967946650","doi":"10.1007/s10278-019-00256-6","title":"Building Three-Dimensional Intracranial Aneurysm Models from 3D-TOF MRA: a Validation Study","year":2019,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Intraclass correlation; Magnetic resonance angiography; Nuclear medicine; Aneurysm; Medicine; Computed tomography angiography; Wilcoxon signed-rank test; Correlation coefficient; Computed tomography; Magnetic resonance imaging; Radiology; Mathematics; Reproducibility; Mann–Whitney U test; Statistics","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":[0.002383961,0.001655559,0.0008936133,0.001462714,0.0004027704,0.001714586,0.002093954,0.001917038,0.002157515],"category_scores_gemma":[0.006230893,0.0008347247,0.0021296,0.0007929905,0.0007934807,0.0008873021,0.001294425,0.001155728,0.001184824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005604153,"about_ca_system_score_gemma":0.001225155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009965318,"about_ca_topic_score_gemma":0.007463462,"domain_scores_codex":[0.99902,0.0002760651,0.0001004097,0.0002106471,0.0003172136,0.0000756582],"domain_scores_gemma":[0.9963754,0.001918005,0.0002028248,0.0007333233,0.0006442543,0.0001261154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001717563,0.002042602,0.0324096,0.001123758,0.001531426,0.001651408,0.0008171194,0.696609,0.03863207,0.001889035,0.004759055,0.2168174],"study_design_scores_gemma":[0.00009833139,0.0004717688,0.008349034,0.00008947498,0.0001720872,0.001076544,0.0001826892,0.971859,0.01462941,0.0006508932,0.002351127,0.00006965402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8026115,0.0009792383,0.1819089,0.0002239082,0.000141328,0.0007574639,0.007032116,0.004581001,0.001764486],"genre_scores_gemma":[0.8591788,0.0007545995,0.1275806,0.00007743843,0.00002240545,0.0002605337,0.01093491,0.0003677614,0.0008228148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009965318,"threshold_uncertainty_score":0.01981467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188490716836772,"score_gpt":0.2682693059499657,"score_spread":0.2494202342662885,"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."}}