{"id":"W3094315746","doi":"10.1097/md.0000000000021518","title":"Incidental cerebral aneurysms detected by a computer-assisted detection system based on artificial intelligence","year":2020,"lang":"en","type":"article","venue":"Medicine","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Aneurysm; Radiology; CAD; Magnetic resonance imaging; Medical diagnosis; Internal carotid artery; Middle cerebral artery; Internal medicine; Ischemia","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":[0.00008886673,0.0002481898,0.0003840615,0.0001253131,0.0001756043,0.0000175211,0.0001259321,0.00009895936,0.0001914088],"category_scores_gemma":[0.0000767767,0.0001927055,0.00008848168,0.000572101,0.0001182055,0.00004029524,0.00002232763,0.0002752757,0.0002070915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633056,"about_ca_system_score_gemma":0.00003915864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001161916,"about_ca_topic_score_gemma":0.00002103655,"domain_scores_codex":[0.9983287,0.00007777823,0.0004522873,0.0004443556,0.0004380369,0.0002588495],"domain_scores_gemma":[0.9990867,0.00009940087,0.0001222627,0.0002708755,0.0001166647,0.0003040702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005437807,0.001825771,0.004385126,0.00082173,0.0002124211,0.001360788,0.001526744,0.0001808931,0.6665773,0.001028478,0.005194736,0.3114482],"study_design_scores_gemma":[0.004445267,0.02064714,0.03969221,0.0008089155,0.0008711254,0.001380145,0.00125106,0.7182019,0.2104694,0.00007963025,0.001406451,0.0007467576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7423605,0.00008499154,0.228348,0.02470651,0.0007013512,0.001331691,0.00003504241,0.0009401524,0.001491754],"genre_scores_gemma":[0.9956933,0.000001409895,0.0005493633,0.002531227,0.0009487194,0.00005253644,0.0001600001,0.00002992429,0.00003354786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.718021,"threshold_uncertainty_score":0.7858304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962905077364362,"score_gpt":0.2572226290866793,"score_spread":0.2275935783130357,"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."}}