{"id":"W3129240920","doi":"10.1002/mp.14791","title":"A quantitative assessment of dual energy computed tomography‐based material decomposition for imaging bone marrow edema associated with acute knee injury","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Medicine; Digital Enhanced Cordless Telecommunications; Voxel; Nuclear medicine; Radiology; Bone marrow; Gold standard (test); Biomedical engineering; Pathology; Computer science","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":[0.003238288,0.0006269741,0.0004485612,0.002046871,0.0002058017,0.0009806537,0.0004485193,0.0006509005,0.0005231981],"category_scores_gemma":[0.008552793,0.0003877368,0.0003831509,0.0004790401,0.0005112584,0.0006533904,0.0006372286,0.0003587539,0.000184255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281571,"about_ca_system_score_gemma":0.0005370713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007783196,"about_ca_topic_score_gemma":0.001122551,"domain_scores_codex":[0.9988945,0.0003254667,0.00008926065,0.0001441295,0.0005112034,0.00003543728],"domain_scores_gemma":[0.9973878,0.0009513496,0.000502875,0.0002269675,0.0008555457,0.00007546144],"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":[0.001810132,0.0004069298,0.07417137,0.0007774194,0.0003204744,0.0001959086,0.0002635283,0.07372425,0.5862733,0.001130949,0.0003916575,0.2605342],"study_design_scores_gemma":[0.00008973009,0.001059576,0.09051137,0.00008405824,0.0002507181,0.001500782,0.0001343462,0.6293139,0.274612,0.0008498671,0.001469765,0.000123796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6223387,0.001529218,0.374357,0.0001281621,0.00002235674,0.0001929924,0.0001626028,0.0004188702,0.0008500224],"genre_scores_gemma":[0.7630016,0.0002937594,0.2359963,0.00004925086,0.0000120769,0.0001087476,0.0001606732,0.0000570574,0.0003205216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003238288,"threshold_uncertainty_score":0.0171259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00685240968258744,"score_gpt":0.277449801727837,"score_spread":0.2705973920452495,"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."}}