{"id":"W4385230756","doi":"10.12122/j.issn.1673-4254.2023.07.20","title":"[A method for sensitivity analysis of deviation factor for geometric correction of cone-beam CT system].","year":2023,"lang":"en","type":"article","venue":"PubMed","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Ball (mathematics); Standard deviation; Gaussian; Mathematics; Pixel; Geometry; Mathematical analysis; Physics; Optics; Statistics","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":[0.003836286,0.001117067,0.000599523,0.002242395,0.0006166929,0.0009173222,0.00138364,0.001261608,0.004355127],"category_scores_gemma":[0.01727202,0.0005304076,0.001033334,0.001176779,0.00121674,0.001245569,0.001148848,0.001239615,0.001306166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009538071,"about_ca_system_score_gemma":0.0009408686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198322,"about_ca_topic_score_gemma":0.001513853,"domain_scores_codex":[0.9945343,0.001402859,0.0002456046,0.0006162492,0.003073998,0.0001270607],"domain_scores_gemma":[0.994091,0.002727902,0.0006380936,0.0007213817,0.001736566,0.00008501611],"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":[0.0006751867,0.0002386707,0.01285519,0.001733631,0.0004311574,0.0005407699,0.0005497978,0.102026,0.1307686,0.04291769,0.01546635,0.6917969],"study_design_scores_gemma":[0.00007622122,0.0004285218,0.01713382,0.0001633703,0.0001460466,0.002050449,0.000138925,0.8194129,0.1131341,0.01761555,0.02936203,0.000338144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004968975,0.0004298782,0.9913033,0.00008153771,0.00009533951,0.0001552332,0.0001026866,0.001270156,0.001592805],"genre_scores_gemma":[0.2377171,0.0005381798,0.757331,0.0002715708,0.0001142852,0.0006537755,0.0005475021,0.0005708273,0.002255827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004355127,"threshold_uncertainty_score":0.02028847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05901861911197227,"score_gpt":0.3066311424030828,"score_spread":0.2476125232911105,"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."}}