{"id":"W2070880412","doi":"10.3174/ajnr.a2711","title":"Computational Modeling and Flow Diverters: A Teaching Moment","year":2011,"lang":"en","type":"letter","venue":"American Journal of Neuroradiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Flow diverter; Medicine; Flow (mathematics); Moment (physics); Mechanics; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444306,0.0001861801,0.0007033205,0.0003075593,0.00005376985,0.00001198795,0.0001175342,0.0001009679,0.00005388928],"category_scores_gemma":[0.0001013746,0.0001540113,0.0002233975,0.00004651395,0.0002177152,0.0000477116,0.00005417396,0.001659315,0.00000410358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005025676,"about_ca_system_score_gemma":0.00009199483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003396308,"about_ca_topic_score_gemma":3.366091e-7,"domain_scores_codex":[0.9987002,0.000209889,0.0005242043,0.0001858818,0.0001772284,0.000202574],"domain_scores_gemma":[0.9988626,0.0002829216,0.0004742315,0.0001301188,0.0001470388,0.0001031532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005312861,0.0003660148,0.008762998,0.0001945457,0.00123251,0.01342391,0.001344424,0.007631882,0.00002451593,0.00009306099,0.8225166,0.1438782],"study_design_scores_gemma":[0.005722072,0.04604672,0.01293605,0.00211894,0.003145545,0.1558837,0.0009214184,0.2647452,0.000001692795,0.00328719,0.5039952,0.00119627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.350375,0.0008626833,0.1132798,0.5334085,0.001303528,0.0002591064,0.00005527014,0.00002813333,0.0004280422],"genre_scores_gemma":[0.5058603,0.0003624701,0.02169798,0.4690256,0.002778373,0.000004366647,0.00007587049,0.0000602441,0.0001347829],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3185214,"threshold_uncertainty_score":0.7208989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963429655787565,"score_gpt":0.2812919983083957,"score_spread":0.25165770175052,"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."}}