{"id":"W2923839455","doi":"10.1111/jon.12612","title":"Hemodynamic Differences Between Recurrent and Nonrecurrent Intracranial Aneurysms: Fluid Dynamics Simulations Based on MR Angiography","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroimaging","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Medicine; Aneurysm; Angiography; Radiology; Magnetic resonance angiography; Hemodynamics; Magnetic resonance imaging; Receiver operating characteristic; Cardiology; 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":[0.000434692,0.0003756282,0.0003791908,0.0006156644,0.0002061033,0.000577525,0.0004417186,0.0005305507,0.0004429224],"category_scores_gemma":[0.003127349,0.0002477324,0.0006428892,0.000284304,0.0003863793,0.0003283453,0.0003359721,0.0002467998,0.00008274669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004207521,"about_ca_system_score_gemma":0.0007265031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009281232,"about_ca_topic_score_gemma":0.004229825,"domain_scores_codex":[0.9998816,0.00004068512,0.00001214872,0.00002489524,0.00002122161,0.00001935012],"domain_scores_gemma":[0.9991661,0.0005317435,0.0001588631,0.00004780007,0.00005185434,0.0000436749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006434799,0.0001626139,0.07234304,0.00006199619,0.0001294055,0.0004700473,0.0002748244,0.9030378,0.009772312,0.0009624857,0.0002647986,0.01187721],"study_design_scores_gemma":[0.00001431101,0.00003598941,0.006791241,0.000004894362,0.00001753188,0.00007355323,0.00001551941,0.9917192,0.00103236,0.0002024884,0.00008457872,0.00000832439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859248,0.00009008987,0.01323415,0.00006689836,0.00001347641,0.00002141855,0.0001048465,0.00008126206,0.0004630334],"genre_scores_gemma":[0.9946181,0.00005403922,0.005089031,0.00001104873,0.000005849575,0.0000230754,0.00008724553,0.00001286424,0.00009875189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009281232,"threshold_uncertainty_score":0.01845437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018003620630589,"score_gpt":0.2710236696469582,"score_spread":0.2530200490163692,"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."}}