{"id":"W1586985454","doi":"10.1120/jacmp.v11i2.3037","title":"Volume assessment accuracy in computed tomography: a phantom study","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; McMaster University","keywords":"Imaging phantom; Volume (thermodynamics); Materials science; Tomography; Nuclear medicine; Biomedical engineering; Partial volume; Mathematics; Optics; Physics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003353765,0.0002042571,0.0009793011,0.0001235872,0.00005062298,0.00002629239,0.0005219957,0.0002676139,0.0003186126],"category_scores_gemma":[0.001131476,0.0001494964,0.0003387843,0.0006078344,0.0003921308,0.00007512637,0.0001469301,0.004016912,0.00001798196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003356161,"about_ca_system_score_gemma":0.0006136739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378241,"about_ca_topic_score_gemma":0.000006559196,"domain_scores_codex":[0.9958561,0.00008365817,0.001917197,0.0003137405,0.001514026,0.0003152889],"domain_scores_gemma":[0.9964892,0.00113704,0.0006519275,0.0004884602,0.0002572017,0.0009761159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007389048,0.03706612,0.3132796,0.0001173352,0.0005293812,0.0008353038,0.0002919426,0.000003363918,0.003947164,0.008373216,0.03168725,0.6031304],"study_design_scores_gemma":[0.03218182,0.005987587,0.8199776,0.000917368,0.001071286,0.0003721344,0.0006417779,0.02905831,0.0009355127,0.04900702,0.05887134,0.0009782913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681764,0.00001135205,0.01870421,0.009490774,0.0005753482,0.000876718,0.000002300678,0.00007793997,0.00208501],"genre_scores_gemma":[0.9611396,0.00003975591,0.03427963,0.002491705,0.001973265,0.00003154574,0.000006842572,0.00002574031,0.00001197839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6021521,"threshold_uncertainty_score":0.9982809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591919693890385,"score_gpt":0.4482476329872632,"score_spread":0.4023284360483593,"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."}}