{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466568,0.0001018064,0.0003321048,0.00004856879,0.00002466244,0.0000037308,0.00007071842,0.00003843209,0.0002459685],"category_scores_gemma":[0.00008509834,0.00006455478,0.00002531383,0.0001585893,0.0003729987,0.00002461686,0.00004830716,0.0002195823,0.00003281799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531546,"about_ca_system_score_gemma":0.00002010382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866673,"about_ca_topic_score_gemma":0.000002962632,"domain_scores_codex":[0.9993234,0.00002841788,0.0002294242,0.0002033718,0.00004618126,0.0001692348],"domain_scores_gemma":[0.9995334,0.00007679484,0.00004751918,0.0001921575,0.00004774256,0.0001024595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001286588,0.0001605,0.01923766,0.0001847233,0.000036421,0.00001288143,0.0001888873,1.433836e-8,0.5195268,0.009069901,0.05515896,0.3964104],"study_design_scores_gemma":[0.01071896,0.003062903,0.1142336,0.005129446,0.0004842271,0.001085149,0.001280475,0.003233121,0.0333987,0.166952,0.6592362,0.001185273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105263,0.001587483,0.00503819,0.07563404,0.0001322137,0.0007871267,0.000003425322,0.0001205364,0.006170728],"genre_scores_gemma":[0.9848761,0.0007792628,0.006304722,0.007321145,0.000340637,0.000117291,0.00004985495,0.000009951629,0.0002010517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6040772,"threshold_uncertainty_score":0.2693182,"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."}}