{"id":"W2115314586","doi":"10.1007/s00256-002-0484-1","title":"Normal murine bone morphometry: a comparison of magnetic resonance microscopy with micro X-ray and histology","year":2002,"lang":"en","type":"article","venue":"Skeletal Radiology","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Manitoba Health; National Research Council Institute for Biodiagnostics; University of Manitoba","funders":"Research Manitoba; Manitoba Health Research Council","keywords":"Histology; Magnetic resonance imaging; Magnetic resonance microscopy; Microscopy; Cortical bone; Anatomy; Medicine; Nuclear medicine; Diaphysis; Coronal plane; Gradient echo; Nuclear magnetic resonance; Spin echo; Materials science; Biomedical engineering; Pathology; Femur; Radiology; Physics","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":[0.0001870915,0.0001845522,0.0008637977,0.0002619911,0.00007535501,0.000003738377,0.00009224621,0.0002013278,0.0005992684],"category_scores_gemma":[0.0001100302,0.0001485666,0.00005030153,0.000321534,0.0009571119,0.00003298604,0.00005434678,0.0004393969,0.00004086997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005562638,"about_ca_system_score_gemma":0.00006798993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001399096,"about_ca_topic_score_gemma":0.00005362101,"domain_scores_codex":[0.9982692,0.0001201209,0.0004614443,0.0003763007,0.000169621,0.0006033234],"domain_scores_gemma":[0.9990404,0.000151409,0.0001231444,0.0003195858,0.00009436891,0.0002710711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001567079,0.0007524622,0.7529879,0.0007886592,0.00004473706,0.0002807642,0.000575356,0.000001702469,0.1814758,0.0001676823,0.01497151,0.04638639],"study_design_scores_gemma":[0.008945744,0.01578335,0.7776152,0.0001203784,0.00009952364,0.004379707,0.0001626122,0.0007092957,0.006814628,0.00001789232,0.1850151,0.0003366108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135922,0.08324216,0.00002852865,0.001650103,0.00008205982,0.000375878,0.00001573284,0.00002406693,0.000989316],"genre_scores_gemma":[0.9898327,0.001145743,0.006441934,0.0004373898,0.00007522374,0.00002789271,0.00002040844,0.00002470581,0.001994023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746611,"threshold_uncertainty_score":0.6561569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179641161376264,"score_gpt":0.3018167830821066,"score_spread":0.2838526669444802,"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."}}