{"id":"W2034286667","doi":"10.1007/s11548-013-0918-3","title":"C-arm angle measurement with accelerometer for brachytherapy: an accuracy study","year":2013,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Accelerometer; Orientation (vector space); Rotation (mathematics); Inertial measurement unit; Computer science; Physics; Fluoroscopy; Optical axis; Computer vision; Artificial intelligence; Optics; Mathematics; Geometry","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":[0.001206422,0.0008632406,0.0006599447,0.0007280355,0.0003304884,0.0006983724,0.0008157736,0.001122898,0.001328046],"category_scores_gemma":[0.0052658,0.0004303156,0.0004825081,0.00118148,0.0003227536,0.0006467048,0.000527363,0.0004116212,0.0007775042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258954,"about_ca_system_score_gemma":0.0004983397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003094363,"about_ca_topic_score_gemma":0.003899534,"domain_scores_codex":[0.9975425,0.0006132042,0.0002088918,0.00043251,0.001079202,0.0001236956],"domain_scores_gemma":[0.9958792,0.001491691,0.000406966,0.000495208,0.001654505,0.00007250157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0044004,0.000408903,0.3776043,0.001010999,0.0004772104,0.0004833883,0.001193874,0.006393489,0.3247937,0.0005076302,0.001333776,0.2813923],"study_design_scores_gemma":[0.0002631492,0.007869191,0.6855208,0.0002591981,0.001911665,0.004622704,0.001085697,0.07509173,0.2095553,0.00032271,0.01330903,0.0001888453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441912,0.00634697,0.1416739,0.0002743596,0.0003894306,0.0001796005,0.0008651179,0.0004997987,0.005579627],"genre_scores_gemma":[0.9734516,0.00137348,0.02281746,0.0001030001,0.00007371727,0.00005886672,0.0003698713,0.0000646427,0.001687346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003094363,"threshold_uncertainty_score":0.00638026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505075672338186,"score_gpt":0.3013188848899859,"score_spread":0.2662681281666041,"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."}}