{"id":"W2943246067","doi":"10.1007/s11548-019-01986-2","title":"Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment","year":2019,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Aneurysm; Hemodynamics; Blood flow; Radiology; Medicine; Computer science; Internal medicine; Artificial intelligence; Cardiology","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":[0.01008396,0.0007751084,0.001754375,0.001462392,0.001052547,0.002895711,0.002449577,0.003001309,0.004069585],"category_scores_gemma":[0.02513575,0.0005361169,0.001673087,0.0009949579,0.0005859684,0.002171015,0.005953335,0.002877363,0.002595665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809221,"about_ca_system_score_gemma":0.007977656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006530563,"about_ca_topic_score_gemma":0.007512199,"domain_scores_codex":[0.9978358,0.000625702,0.0002326687,0.0003056147,0.0006631806,0.0003370889],"domain_scores_gemma":[0.9893049,0.002274691,0.00122951,0.000676745,0.003209735,0.003304556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01337696,0.007689372,0.2922032,0.002619994,0.001013007,0.0008609704,0.001023551,0.00838053,0.002210446,0.005664811,0.3343784,0.3305788],"study_design_scores_gemma":[0.009899377,0.01206089,0.5547831,0.005296105,0.001398568,0.003470803,0.003667238,0.02038503,0.004027692,0.01176809,0.3728786,0.000364407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6856348,0.01142723,0.03013216,0.04562753,0.004754686,0.02753918,0.1559853,0.001258844,0.03764035],"genre_scores_gemma":[0.5138439,0.008004892,0.1013814,0.01840748,0.005216709,0.04357251,0.2949477,0.0007281901,0.01389714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008396,"threshold_uncertainty_score":0.05332971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715493737067983,"score_gpt":0.296320791542423,"score_spread":0.2791658541717432,"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."}}