{"id":"W2075136360","doi":"10.1088/0031-9155/54/24/001","title":"The geometric calibration of cone–beam systems with arbitrary geometry","year":2009,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Ellipse; Imaging phantom; Detector; Geometry; Calibration; Optics; Physics; Beam (structure); Rotation (mathematics); Mathematics","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":[0.002655515,0.0008740895,0.0005958916,0.0009149087,0.0005696744,0.001269473,0.001874025,0.000767443,0.001526456],"category_scores_gemma":[0.01299163,0.000914961,0.0004344737,0.00114543,0.00107933,0.00128634,0.001540432,0.0009192405,0.0007315372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038145,"about_ca_system_score_gemma":0.001365867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613037,"about_ca_topic_score_gemma":0.001687422,"domain_scores_codex":[0.996005,0.00108761,0.0001499982,0.0006149239,0.002037493,0.0001050961],"domain_scores_gemma":[0.9949733,0.001561472,0.0007945185,0.001200228,0.001366183,0.0001043002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003833502,0.0001178015,0.007121688,0.0004233679,0.0000943761,0.0003946686,0.0007735987,0.3678834,0.1190609,0.06719505,0.003969994,0.4325818],"study_design_scores_gemma":[0.00005332072,0.0002717569,0.004662325,0.00008453891,0.00003298012,0.001336268,0.0001049125,0.8646675,0.09247905,0.01262158,0.02348614,0.00019969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008822263,0.0001387005,0.9890654,0.00005794807,0.0000355626,0.00007699837,0.00002982871,0.0006361307,0.00113711],"genre_scores_gemma":[0.2036348,0.0002972916,0.7944306,0.00007466385,0.00002321553,0.000157382,0.000196875,0.0002006841,0.0009845921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002655515,"threshold_uncertainty_score":0.01404393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104406337763995,"score_gpt":0.3759205489194606,"score_spread":0.2715142111554655,"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."}}