{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796807,0.0006217415,0.0003121709,0.0005432322,0.0002539512,0.0006804396,0.000653462,0.001340789,0.0009556891],"category_scores_gemma":[0.001957194,0.0004488604,0.0004735333,0.0001832275,0.000517805,0.0005051122,0.000358113,0.0003316139,0.000320127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006085218,"about_ca_system_score_gemma":0.0009910209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007130956,"about_ca_topic_score_gemma":0.003935358,"domain_scores_codex":[0.9998283,0.00003598911,0.0000102022,0.00003236937,0.00006864782,0.00002438417],"domain_scores_gemma":[0.9994376,0.000356133,0.00007453392,0.00003878295,0.00006772781,0.00002515073],"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":[0.00002684612,0.00001913228,0.0007420738,0.0000169312,0.000003996768,0.0000687127,0.00003892956,0.9911857,0.00398696,0.0007138054,0.00006697889,0.003129817],"study_design_scores_gemma":[0.000003337534,0.00001534698,0.0001869119,0.000002394878,0.000002387695,0.00001619851,0.000005088423,0.9982362,0.001271744,0.0001330179,0.0001241449,0.000003247234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3414709,0.0002465108,0.6490613,0.0002004519,0.00002559957,0.000104404,0.0001919649,0.0009729606,0.007725823],"genre_scores_gemma":[0.9394071,0.0002003367,0.05711034,0.00001778333,0.000005650968,0.0001240173,0.0001033253,0.00006318842,0.002968419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007130956,"threshold_uncertainty_score":0.01417887,"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."}}