{"id":"W2321188606","doi":"10.1016/j.joca.2016.01.552","title":"A stand-up magnetic resonance imaging scanner is feasible and reliable for estimating weightbearing knee alignment in patellofemoral osteoarthritis","year":2016,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Magnetic resonance imaging; Sagittal plane; Supine position; Weight-bearing; Osteoarthritis; Patellofemoral joint; Squatting position; Orthodontics; Cadaveric spasm; Knee pain; Knee Joint; Patellofemoral pain syndrome; Physical medicine and rehabilitation; Physical therapy; Patella; Radiology; Surgery; 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":[0.001946618,0.0007224945,0.0006264816,0.001632701,0.0003825225,0.0008724694,0.0008560288,0.002648346,0.002411899],"category_scores_gemma":[0.01074604,0.001125873,0.0003419766,0.0007539831,0.0006704729,0.002210508,0.0007193883,0.0006621712,0.001322981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064382,"about_ca_system_score_gemma":0.0005228918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009634854,"about_ca_topic_score_gemma":0.002824279,"domain_scores_codex":[0.9991832,0.0003573632,0.0001535261,0.0000703355,0.0001868344,0.00004865475],"domain_scores_gemma":[0.9930468,0.003770149,0.0007381529,0.0005465495,0.001558373,0.000339993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004741451,0.0005071049,0.4435894,0.0008961327,0.0001962493,0.01196858,0.0005752002,0.001034878,0.3910102,0.0003676191,0.002508738,0.1426045],"study_design_scores_gemma":[0.0004383023,0.004369593,0.7992753,0.0004387654,0.0006762868,0.08586096,0.001405706,0.01982163,0.08053477,0.001808333,0.005182564,0.0001879297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481922,0.005002633,0.04125232,0.0007515986,0.000170718,0.0001190068,0.0004549863,0.000296813,0.003759782],"genre_scores_gemma":[0.9728436,0.001426162,0.0239988,0.000246789,0.0001581294,0.00005385849,0.0002753609,0.00007838352,0.0009187462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002648346,"threshold_uncertainty_score":0.0102948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009133988422293342,"score_gpt":0.2043703449353887,"score_spread":0.1952363565130954,"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."}}