{"id":"W2098318219","doi":"10.1016/j.medengphy.2011.11.015","title":"Bioimpedance technique for monitoring cerebral artery stenosis in a 3D numerical model of the head","year":2011,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Stenosis; Sensitivity (control systems); Head (geology); Middle cerebral artery; Injector; Stroke (engine); Artery; Medicine; Biomedical engineering; Cardiology; Physics; Ischemia; Engineering; Electronic engineering; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001461876,0.0001995086,0.0002877863,0.00006405356,0.00002068041,0.000004551378,0.0003412168,0.000144777,0.000004025004],"category_scores_gemma":[0.00005946384,0.0001535221,0.0001636281,0.0005971242,0.00004563669,0.00007886885,0.00004499322,0.0003987643,9.997843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004519732,"about_ca_system_score_gemma":0.00003043175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001561391,"about_ca_topic_score_gemma":9.439259e-7,"domain_scores_codex":[0.9987804,0.000009612183,0.000324243,0.0001765256,0.0003048219,0.0004044017],"domain_scores_gemma":[0.9995219,0.00007182929,0.00003147257,0.0002340493,0.00002775752,0.000113039],"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":[0.0001194316,0.001175769,0.0496996,0.002563575,0.0003571003,0.00001885571,0.002159419,0.4947015,0.2958295,0.006295619,0.0003010824,0.1467785],"study_design_scores_gemma":[0.000311114,0.00005912457,0.005161231,0.0002718961,0.00001543419,0.000002194509,0.000003963556,0.8595774,0.1335972,0.0007410605,0.00002578712,0.0002336455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2198965,0.0002166119,0.7788082,0.00003127638,0.0003105538,0.0003784841,0.00001255962,0.0002332114,0.0001125997],"genre_scores_gemma":[0.9823788,0.00003788955,0.0171388,0.00001748159,0.000170142,0.000207546,0.000001070523,0.00004313976,0.00000506952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7624824,"threshold_uncertainty_score":0.6260451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008320800777456,"score_gpt":0.2153192449698905,"score_spread":0.195236036962116,"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."}}