{"id":"W4394564672","doi":"10.1109/icbme61513.2023.10488489","title":"Patient-Specific Virtual Endovascular Treatment Model","year":2023,"lang":"en","type":"article","venue":"","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Computer science; Virtual patient; Medicine; Nursing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002998126,0.00007889348,0.0001024107,0.00007436364,0.00002503405,0.00001454672,0.00003782244,0.00002130131,0.000209319],"category_scores_gemma":[0.000003843189,0.0000593359,0.00009470637,0.0002054775,0.00001111084,0.00002944863,0.000009372624,0.00003504254,0.0008550515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003195748,"about_ca_system_score_gemma":0.00000363777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007305343,"about_ca_topic_score_gemma":8.677612e-7,"domain_scores_codex":[0.9995025,0.000005554112,0.00009616363,0.0001006527,0.0001333124,0.0001617733],"domain_scores_gemma":[0.9997372,0.0000155638,0.000003531274,0.0001571863,0.000006925826,0.00007956167],"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":[3.842022e-7,0.00002155011,0.00005912845,0.000004270188,0.0001317986,0.00002537799,0.000325147,0.7097781,0.002178814,0.0005453525,0.02156899,0.2653611],"study_design_scores_gemma":[0.0001452053,0.00001099246,0.00001463176,0.000003065309,0.00001348795,5.873659e-7,0.00009847091,0.9756357,0.002291905,0.00007639219,0.02163486,0.00007472461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7861427,0.0005750853,0.1760977,0.0002420445,0.0003171995,0.0001089072,0.00001113016,0.002993142,0.03351208],"genre_scores_gemma":[0.9956685,0.0006021486,0.0006678096,0.00003296989,0.00004137036,0.0000165781,0.0000271988,0.00001738982,0.002926021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2658575,"threshold_uncertainty_score":0.9999229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653855247409413,"score_gpt":0.2107758330255002,"score_spread":0.194237280551406,"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."}}