{"id":"W2057630337","doi":"10.1118/1.3213516","title":"A solid iodinated phantom material for use in tomographic x‐ray imaging","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imaging phantom; Materials science; Calibration; Attenuation; Computed radiography; Reproducibility; Radiography; Biomedical engineering; Nuclear medicine; Iodinated contrast; Projection (relational algebra); Repeatability; Digital radiography; Medical imaging; Tomography; Image quality; Optics; Medicine; Computed tomography; Radiology; Computer science; Physics; Mathematics; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001069018,0.0001492654,0.0002004961,0.00005698386,0.00003871369,0.00003915551,0.0001368954,0.00005151264,0.00003054022],"category_scores_gemma":[0.00005145264,0.0001485409,0.00006027068,0.0002407876,0.0000446486,0.0003027975,0.00001363263,0.0001888596,0.000005799394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071841,"about_ca_system_score_gemma":0.00001466757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005368131,"about_ca_topic_score_gemma":0.000003173118,"domain_scores_codex":[0.999046,0.00001021638,0.0002057817,0.0001593366,0.0002032203,0.000375501],"domain_scores_gemma":[0.9996583,0.00005475946,0.00001923515,0.0001321404,0.00002318155,0.0001123675],"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":[0.000224976,0.0006283072,0.004528403,0.0003228546,0.00008647778,0.0003223926,0.001187146,0.01480503,0.09747049,0.002209889,0.00447191,0.8737421],"study_design_scores_gemma":[0.006331655,0.0001541467,0.007514101,0.0007586192,0.00007286012,0.00002636217,0.000106766,0.7158938,0.1905565,0.06855356,0.008455744,0.00157583],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5584538,0.0001504612,0.4390365,0.0003489176,0.0008245613,0.0002958382,0.00003220257,0.0005673721,0.000290386],"genre_scores_gemma":[0.998148,0.0000277548,0.000984796,0.0003672026,0.0003825763,0.00001930928,0.00003678982,0.00002528688,0.000008306034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8721663,"threshold_uncertainty_score":0.6057324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009029491588041977,"score_gpt":0.2637822046401578,"score_spread":0.2547527130521159,"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."}}