{"id":"W2013192387","doi":"10.1088/0031-9155/58/12/4297","title":"Scout-view assisted interior micro-CT","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; St. Paul's Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; National Center for Research Resources; U.S. Public Health Service; National Institutes of Health","keywords":"Computer science; Detector; Sample (material); Field of view; Computer vision; Tomography; Artificial intelligence; Resolution (logic); Position (finance); Overhead (engineering); Iterative reconstruction; Optics; Physics","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":[0.0008069113,0.000931182,0.0006620841,0.001044221,0.0002732479,0.0009298708,0.0009560761,0.001077904,0.006790964],"category_scores_gemma":[0.002131505,0.0005690058,0.0005656807,0.0006468795,0.0004363471,0.000762315,0.001115247,0.0009559742,0.001361011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436014,"about_ca_system_score_gemma":0.0008071131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009371,"about_ca_topic_score_gemma":0.001866333,"domain_scores_codex":[0.9995151,0.00007446679,0.00003357778,0.00009145362,0.000250338,0.00003513633],"domain_scores_gemma":[0.9985099,0.000475544,0.0001183465,0.0004353395,0.0003709167,0.00008992352],"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":[0.001512978,0.0001541821,0.004435645,0.0009278192,0.000102081,0.0009892313,0.0002374237,0.04678304,0.6834096,0.002814397,0.004336399,0.2542973],"study_design_scores_gemma":[0.0000995805,0.0003574631,0.004553088,0.0001058133,0.000117338,0.004967351,0.00008401224,0.5450649,0.4288394,0.001398,0.01425288,0.0001601871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03071895,0.0004618164,0.963224,0.00008031612,0.00004592144,0.0001253814,0.0003510397,0.002395101,0.002597483],"genre_scores_gemma":[0.1440058,0.000463935,0.8518912,0.00009212043,0.00002828405,0.00008886027,0.0007134943,0.0004730877,0.00224309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006790964,"threshold_uncertainty_score":0.02271807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2063400393378602,"score_gpt":0.4431914638902914,"score_spread":0.2368514245524312,"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."}}