{"id":"W4200469693","doi":"10.1109/embc46164.2021.9630033","title":"Ultrasound Probe Pose Classification for Task Recognition in Central Venous Catheterization","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"HORIZON EUROPE Health","keywords":"Convolutional neural network; Segmentation; Ultrasound; Deep learning; Classifier (UML); Task (project management); Artificial neural network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008955785,0.0007882343,0.0004267689,0.0005222743,0.0001868939,0.0007386411,0.0006381205,0.0008184365,0.002923836],"category_scores_gemma":[0.004626164,0.0002499984,0.0003634461,0.0003225697,0.0002269832,0.0005859517,0.0006981299,0.0005345775,0.001592363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854069,"about_ca_system_score_gemma":0.0006293755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135456,"about_ca_topic_score_gemma":0.003562534,"domain_scores_codex":[0.9994364,0.0001313512,0.0000323354,0.0001909686,0.0001172961,0.00009163308],"domain_scores_gemma":[0.9989994,0.0003960531,0.0001072524,0.0001182451,0.000270855,0.00010814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002016006,0.0004403677,0.0384592,0.0002902987,0.0000743998,0.0004865082,0.0002440574,0.03105054,0.09825871,0.0005451819,0.01215578,0.8159789],"study_design_scores_gemma":[0.000086655,0.001354994,0.06386005,0.000101967,0.00007467948,0.001177204,0.0002039686,0.8312498,0.0937004,0.002144054,0.005969489,0.00007668763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6649736,0.001214881,0.3144016,0.0007016199,0.0004962452,0.0003107112,0.001753301,0.009205058,0.006943083],"genre_scores_gemma":[0.9410009,0.0002783194,0.05386767,0.0003035821,0.0001004185,0.0001326439,0.001361859,0.0001718758,0.002782731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002923836,"threshold_uncertainty_score":0.009781241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09121797705614472,"score_gpt":0.3655882248229484,"score_spread":0.2743702477668037,"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."}}