{"id":"W2953403116","doi":"10.22215/etd/2015-10992","title":"Application of Three-Dimensional Motion Tracking of Low-Activity Fiducial Positron-Emitting Markers in Radiation Therapy and Positron Emission Tomography","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; National Research Council Canada; Nova Scotia Cancer Centre; Ottawa Hospital","funders":"","keywords":"Imaging phantom; Fiducial marker; Positron emission tomography; Tracking (education); Nuclear medicine; Match moving; Physics; Positron; Computer science; Computer vision; Motion (physics); Medicine","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":[0.0009987896,0.00040235,0.0002941065,0.0005793325,0.0003275696,0.001095341,0.0003748596,0.0005351588,0.001112482],"category_scores_gemma":[0.001504393,0.0002913662,0.0003878163,0.001150159,0.0003966497,0.0005765208,0.0006008756,0.0005724729,0.0005310437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287732,"about_ca_system_score_gemma":0.0008956929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109369,"about_ca_topic_score_gemma":0.001297596,"domain_scores_codex":[0.9995624,0.00009241398,0.0000255788,0.00008544296,0.0002033006,0.00003080894],"domain_scores_gemma":[0.9995595,0.0001224857,0.00008005578,0.0000589808,0.0001595801,0.00001942771],"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":[0.0002590441,0.00009777558,0.001775749,0.0005585076,0.00003520566,0.000151139,0.0003575671,0.01600651,0.3175431,0.01666572,0.002448339,0.6441013],"study_design_scores_gemma":[0.0000616878,0.0009760985,0.006540769,0.0002127968,0.0001147189,0.001046382,0.0001051171,0.04986239,0.7811757,0.004692723,0.155047,0.0001647308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08320493,0.02681347,0.8664048,0.0006200155,0.0005101316,0.0003539093,0.00017043,0.0009284342,0.02099394],"genre_scores_gemma":[0.3996278,0.02279699,0.5519187,0.0003666862,0.00006316418,0.0002906297,0.0004359507,0.0002052413,0.02429496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001112482,"threshold_uncertainty_score":0.005282223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00800469147919989,"score_gpt":0.2789163469803311,"score_spread":0.2709116555011312,"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."}}