{"id":"W2085557458","doi":"10.1007/s11548-013-0957-9","title":"A low-cost tracked C-arm (TC-arm) upgrade system for versatile quantitative intraoperative imaging","year":2013,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Bone and Joint Health Institute; Health Sciences Centre; University of British Columbia","funders":"Canadian Arthritis Network; Siemens","keywords":"Computer science; Landmark; Fluoroscopy; Computer vision; Artificial intelligence; Tracking (education); Calibration; Tracking system; Mathematics; Medicine; Kalman filter; Surgery","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":[0.0009550364,0.0005639042,0.0004786626,0.0009731506,0.0004028023,0.0007549518,0.00123965,0.000963725,0.008027775],"category_scores_gemma":[0.001488343,0.0004688377,0.000296466,0.0005996636,0.0002285058,0.0008958132,0.001014623,0.001072019,0.002263104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004090965,"about_ca_system_score_gemma":0.001221173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113128,"about_ca_topic_score_gemma":0.002059572,"domain_scores_codex":[0.9993128,0.00007554149,0.00003740809,0.0001294781,0.0003948492,0.00004996274],"domain_scores_gemma":[0.9988586,0.0003003735,0.000139981,0.0001621666,0.0004264188,0.00011246],"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":[0.000808637,0.0001582332,0.007576444,0.0003559652,0.00005206851,0.0005772152,0.0001240608,0.000733676,0.7026392,0.001099215,0.01677272,0.2691026],"study_design_scores_gemma":[0.0002764933,0.002344332,0.04308921,0.0001567141,0.0005068761,0.01848345,0.0001153073,0.08348635,0.7075823,0.0006760098,0.1428611,0.0004219164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072773,0.002006536,0.8623465,0.0008132984,0.0006079861,0.0007115838,0.0009703821,0.01483774,0.01042853],"genre_scores_gemma":[0.3468265,0.0006483688,0.635258,0.00119271,0.0003017411,0.0005334346,0.0009319159,0.0009822021,0.01332522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008027775,"threshold_uncertainty_score":0.02685553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057692064010401,"score_gpt":0.3150263857483811,"score_spread":0.2944494651082771,"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."}}