{"id":"W2277068097","doi":"10.1117/1.jmi.3.1.016001","title":"Fabrication and control of CT number through polymeric composites based on coronary plaque CT phantom applications","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University Health Network","keywords":"Imaging phantom; Fabrication; Hounsfield scale; Biomedical engineering; Medicine; Thermoplastic polyurethane; Polyvinylidene fluoride; Materials science; Composite material; Polymer; Computed tomography; Nuclear medicine; Radiology; Elastomer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003478846,0.0004673579,0.000149456,0.000307516,0.000112163,0.000229929,0.0001794272,0.0002861938,0.000577761],"category_scores_gemma":[0.0005229732,0.0002590029,0.0001707905,0.0001771381,0.0002190612,0.0002487634,0.0001525267,0.0002839778,0.0001357394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742246,"about_ca_system_score_gemma":0.0001352481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001512117,"about_ca_topic_score_gemma":0.0003293561,"domain_scores_codex":[0.9998385,0.00002897556,0.00001277961,0.00004897636,0.00005515326,0.0000156514],"domain_scores_gemma":[0.9995622,0.0001425816,0.0001705973,0.0000398699,0.00005315158,0.00003161157],"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":[0.00001627284,0.000006309566,0.00002764252,0.00001076282,6.036437e-7,0.000007473497,0.000005215431,0.0000721525,0.9993673,0.00002478535,0.000004002183,0.0004575355],"study_design_scores_gemma":[0.000002133376,0.0000995943,0.0003629126,0.000001916301,0.000004190243,0.00004099022,0.000003110157,0.0005423981,0.9984692,0.00000916213,0.0004615496,0.000002806341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563617,0.00117582,0.03995543,0.0000560845,0.00004062173,0.0001093667,0.0001184866,0.0002427702,0.001939809],"genre_scores_gemma":[0.9304823,0.0009651996,0.06629376,0.00004072224,0.00001415804,0.0001745478,0.0001526387,0.00007470875,0.001801936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000577761,"threshold_uncertainty_score":0.00193274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005083402073368344,"score_gpt":0.2559191669791666,"score_spread":0.2508357649057983,"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."}}