{"id":"W4313598855","doi":"10.1109/ojemb.2022.3233778","title":"Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Engineering in Medicine and Biology","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Deliverable; Workspace; Computer science; Imaging phantom; Finite element method; Simulation; Biomedical engineering; Robot; Artificial intelligence; Radiology; Engineering; Medicine; Structural engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006232218,0.00007287288,0.0003245778,0.0001778397,0.00003223556,0.000005438299,0.0000670231,0.0000236892,0.00002544583],"category_scores_gemma":[0.00005591931,0.00005494603,0.00001297622,0.00009589559,0.00003644671,0.00008403383,0.00009462765,0.000162203,2.090514e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002592755,"about_ca_system_score_gemma":0.00001891887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001426675,"about_ca_topic_score_gemma":0.000003786047,"domain_scores_codex":[0.9993861,0.0000289558,0.0003082821,0.0001004755,0.00007214492,0.000103983],"domain_scores_gemma":[0.999715,0.00003590205,0.00007514544,0.00005856089,0.0000400375,0.00007538081],"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":[0.003741987,0.0004821761,0.2219082,0.001560404,0.001077929,0.0005455982,0.007725785,0.4984446,0.2074882,0.00143396,0.00824309,0.04734804],"study_design_scores_gemma":[0.01116804,0.007559428,0.01642105,0.00156382,0.0003494757,0.001537563,0.003502139,0.9475479,0.0001426592,0.0005058704,0.009486996,0.0002150261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923363,0.003716717,0.002279246,0.001221525,0.0001224717,0.0001537973,0.000002179137,0.000003486972,0.0001642682],"genre_scores_gemma":[0.996589,0.001298588,0.001778881,0.0001771586,0.00007901021,0.000006516106,0.000002293152,0.00000599275,0.00006252884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4491033,"threshold_uncertainty_score":0.2240634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693892878873943,"score_gpt":0.2980054888138332,"score_spread":0.2510665600250938,"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."}}