{"id":"W2320710418","doi":"10.1097/rct.0b013e3182772d66","title":"Quantitative DTI Assessment in Human Lumbar Stabilization Muscles at 3 T","year":2013,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton; McMaster University Medical Centre","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Fractional anisotropy; Medicine; Diffusion MRI; Lumbar; Magnetic resonance imaging; Low back pain; Body mass index; Oswestry Disability Index; Nuclear medicine; Anatomy; Radiology; Pathology","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":[0.0007797527,0.0002954496,0.0001571471,0.0007856229,0.0001973648,0.0003664287,0.0001737526,0.0004304645,0.001422995],"category_scores_gemma":[0.001778576,0.0001441563,0.0001245242,0.0003250994,0.000226131,0.0003552987,0.000130537,0.0001193545,0.0003290203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718995,"about_ca_system_score_gemma":0.0001856894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001830192,"about_ca_topic_score_gemma":0.002453149,"domain_scores_codex":[0.9998752,0.00004119347,0.00001077713,0.0000331693,0.00003026769,0.000009414834],"domain_scores_gemma":[0.999582,0.0001035516,0.0001191123,0.00002737499,0.0001389189,0.00002903193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001761597,0.0001132694,0.06000696,0.0008163031,0.0001700625,0.0005032137,0.0007143247,0.002998137,0.8400949,0.0004555459,0.001070307,0.0912954],"study_design_scores_gemma":[0.0001753811,0.001737015,0.7812874,0.000167382,0.000326438,0.007159688,0.0006953912,0.03348163,0.1689182,0.001595563,0.004337605,0.0001182993],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643609,0.001918704,0.03107199,0.0001151438,0.00001462438,0.00005837134,0.000636415,0.0001683831,0.001655569],"genre_scores_gemma":[0.9819953,0.0005994175,0.01617679,0.00004289454,0.0000176968,0.00006020141,0.0003246494,0.00003154465,0.0007513897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830192,"threshold_uncertainty_score":0.004760385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06766996994943697,"score_gpt":0.380726403764135,"score_spread":0.3130564338146981,"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."}}