{"id":"W1838846851","doi":"10.1118/1.4931452","title":"3D localization of electrophysiology catheters from a single x‐ray cone‐beam projection","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; American Association of Physicists in Medicine","keywords":"Cone beam computed tomography; Projection (relational algebra); X-ray; Cone (formal languages); Optics; Physics; Materials science; Medical physics; Computed tomography; Medicine; Radiology; Computer science; Algorithm","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":[0.001099563,0.0008701137,0.0004616046,0.001110472,0.0001897044,0.001146435,0.0006331423,0.0006010091,0.001890978],"category_scores_gemma":[0.003824455,0.0006753921,0.0005102672,0.0005520654,0.0005112236,0.0006045039,0.001009675,0.0006626169,0.0007186672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003849779,"about_ca_system_score_gemma":0.0009732168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182812,"about_ca_topic_score_gemma":0.001152172,"domain_scores_codex":[0.9994432,0.0000956549,0.00003331637,0.0001230661,0.0002771908,0.00002744982],"domain_scores_gemma":[0.9980602,0.0007252438,0.0003652514,0.000287753,0.0004812388,0.00008027396],"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":[0.0008133921,0.0001144191,0.005555042,0.0007607323,0.0000873492,0.0006025376,0.0009239205,0.05703714,0.7778394,0.001283019,0.0009953181,0.1539878],"study_design_scores_gemma":[0.0001337984,0.001417214,0.03568124,0.0002253036,0.000137243,0.004141571,0.0002462906,0.2979605,0.6533898,0.001195772,0.005223094,0.0002480883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2216792,0.0009729584,0.7735121,0.0001728605,0.00004366751,0.0001702914,0.0002836698,0.001629888,0.001535303],"genre_scores_gemma":[0.6237047,0.0011782,0.3727794,0.00008421613,0.00002291649,0.0001578197,0.0005357999,0.0003137585,0.001223266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001890978,"threshold_uncertainty_score":0.00632596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477611409050119,"score_gpt":0.3065902656596528,"score_spread":0.2718141515691516,"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."}}