{"id":"W2030065792","doi":"10.1118/1.4900601","title":"Iso‐uncertainty control in an experimental fluoroscopy system","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto","funders":"National Institute on Aging; National Institutes of Health","keywords":"Fluoroscopy; Metric (unit); Computer science; Fiducial marker; Detector; Controller (irrigation); Attenuation; Noise (video); Trajectory; Medical imaging; Artificial intelligence; Computer vision; Image (mathematics); Optics; Physics; Engineering","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":[0.000624873,0.00026307,0.0003143007,0.0003079826,0.000473745,0.0005774499,0.0007801203,0.0007658091,0.002634431],"category_scores_gemma":[0.00203419,0.0001469413,0.0002707872,0.0001837762,0.0005984067,0.0004388533,0.0005625565,0.0003291477,0.0002540675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006631991,"about_ca_system_score_gemma":0.0005542947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548177,"about_ca_topic_score_gemma":0.001614282,"domain_scores_codex":[0.9995453,0.00007589329,0.00003705918,0.0001259273,0.000164654,0.00005111666],"domain_scores_gemma":[0.9990047,0.0003298342,0.0001241702,0.0001750048,0.0002921578,0.00007414228],"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":[0.004326596,0.001881991,0.01046288,0.001044827,0.0001239504,0.001271455,0.00154534,0.2385426,0.6559561,0.005556676,0.00153993,0.07774758],"study_design_scores_gemma":[0.0005847337,0.01047837,0.02804943,0.00008249161,0.0001330001,0.0005156361,0.0003284455,0.6159818,0.3350497,0.001646157,0.007016815,0.0001334679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612458,0.00009220085,0.03558126,0.00009446909,0.00004882192,0.0001363108,0.0001468264,0.0004963857,0.002157929],"genre_scores_gemma":[0.9937794,0.00002012956,0.005518132,0.00001598437,0.000002562004,0.00004936327,0.00006040068,0.000007200416,0.0005468288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002634431,"threshold_uncertainty_score":0.008813083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673867733042368,"score_gpt":0.3330801281018566,"score_spread":0.3163414507714329,"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."}}