{"id":"W4381745254","doi":"10.1109/radarconf2351548.2023.10149591","title":"Ablation Catheter Tracking with Ultrawideband Radar","year":2023,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Tracking (education); Radar; Catheter; Radar tracker; Radar engineering details; Position (finance); Radar imaging; Tracking system; Object detection; Kalman filter; Medicine; Radiology; Segmentation; Telecommunications","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":[0.0005501961,0.0003597718,0.0004282932,0.0004622111,0.0001549283,0.000564414,0.0004219217,0.0009392635,0.0006003544],"category_scores_gemma":[0.00141962,0.0002211039,0.0003246462,0.0005095889,0.0002607976,0.001045215,0.0005672789,0.0004344263,0.0004235324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196426,"about_ca_system_score_gemma":0.0002356842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003084045,"about_ca_topic_score_gemma":0.0003233165,"domain_scores_codex":[0.9995034,0.0001188735,0.00002720996,0.0001175923,0.000187966,0.00004500892],"domain_scores_gemma":[0.9991696,0.000296137,0.0001863987,0.0001525226,0.0001717891,0.00002362144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002926126,0.0001244748,0.002343888,0.00021616,0.00006630723,0.0001956171,0.0002011827,0.0201123,0.6933839,0.002955707,0.0008214877,0.2792864],"study_design_scores_gemma":[0.00009496597,0.001459973,0.01092234,0.00008426077,0.000176115,0.00209217,0.0001256996,0.5300484,0.4371041,0.00318708,0.01458171,0.0001231666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08332551,0.00148818,0.9112806,0.0002818293,0.0001029873,0.00004437369,0.00003648462,0.0009842862,0.002455697],"genre_scores_gemma":[0.6343392,0.001358291,0.3613519,0.0004048034,0.00009473462,0.00008049689,0.0001059784,0.00005269906,0.002211874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009392635,"threshold_uncertainty_score":0.00290972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009574482155601985,"score_gpt":0.1998315182324994,"score_spread":0.1902570360768974,"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."}}