{"id":"W2092055767","doi":"10.1016/j.ejrad.2004.02.009","title":"Magnetic resonance imaging of trabecular and cortical bone in mice: comparison of high resolution in vivo and ex vivo MR images with corresponding histology","year":2004,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Bone and Joint Diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Ex vivo; In vivo; Magnetic resonance imaging; Cortical bone; Medicine; Histology; Gradient echo; Pathology; Biomedical engineering; Anatomy; Nuclear medicine; Radiology; Biology","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":[0.0008348273,0.0006657083,0.0003826571,0.001784452,0.0004100413,0.0005100478,0.0004162454,0.0008647232,0.00227842],"category_scores_gemma":[0.0004833058,0.0008678892,0.0003201585,0.0005800372,0.0005640099,0.0007247649,0.0002912898,0.001066965,0.00045861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448588,"about_ca_system_score_gemma":0.0002330219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372482,"about_ca_topic_score_gemma":0.001772103,"domain_scores_codex":[0.9997477,0.00005933977,0.00002263733,0.00005859326,0.00006026348,0.00005137854],"domain_scores_gemma":[0.9992786,0.0001441337,0.0002218898,0.00007271922,0.0001464938,0.0001361591],"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":[0.0003112689,0.00004178684,0.0001709805,0.00004456555,0.000009706141,0.00005768185,0.00001562606,0.00006996185,0.9982693,0.00009364742,0.00003563289,0.0008796119],"study_design_scores_gemma":[0.0001201276,0.0007219249,0.02236335,0.00002251975,0.000112823,0.002191828,0.0001126699,0.001718015,0.9704289,0.0002388827,0.001947341,0.00002169031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357756,0.004666238,0.05088917,0.0006261886,0.0001082407,0.0001260801,0.001779546,0.0007543678,0.005274556],"genre_scores_gemma":[0.928631,0.00433565,0.05314726,0.0002815211,0.00007130531,0.000127799,0.001274692,0.0005370148,0.01159381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00227842,"threshold_uncertainty_score":0.007622063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020703864146712,"score_gpt":0.2479198733178206,"score_spread":0.2377128346763535,"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."}}