{"id":"W2504085450","doi":"10.6061/clinics/2016(07)09","title":"Accuracy of magnetic resonance imaging for measuring maturing cartilage: A phantom study","year":2016,"lang":"en","type":"article","venue":"Clinics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; University Health Network","funders":"","keywords":"Imaging phantom; Magnetic resonance imaging; Pixel; Coronal plane; Nuclear medicine; Scanner; Materials science; Pulse sequence; Nuclear magnetic resonance; Flip angle; Biomedical engineering; Medicine; Radiology; Physics; Optics","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":[0.007717727,0.001082761,0.0005968325,0.001231215,0.0002913892,0.0009116464,0.001255435,0.001590642,0.0006806306],"category_scores_gemma":[0.02750434,0.0006515044,0.0004363038,0.0007240128,0.0008212575,0.000777994,0.0006436528,0.000390329,0.0005681674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071686,"about_ca_system_score_gemma":0.0004174091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009237357,"about_ca_topic_score_gemma":0.001378447,"domain_scores_codex":[0.9925253,0.003231958,0.000661232,0.001218507,0.002192137,0.0001707682],"domain_scores_gemma":[0.9805501,0.0109173,0.002412024,0.002876613,0.003016963,0.0002269666],"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":[0.001047435,0.0001815175,0.02134643,0.0004327794,0.0001628519,0.0001762494,0.0002588443,0.003731851,0.9373274,0.0001543739,0.0001372164,0.03504309],"study_design_scores_gemma":[0.0001324088,0.005830253,0.08246404,0.0001596387,0.0005600376,0.005489594,0.0001407381,0.04239594,0.8576082,0.0002909915,0.00474686,0.0001813699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7523012,0.01115278,0.2329741,0.0002655292,0.0001296141,0.0003254734,0.0002619166,0.0009224152,0.001666885],"genre_scores_gemma":[0.8162236,0.0017127,0.1806132,0.0001212977,0.00003856228,0.0002019595,0.0002915931,0.000144854,0.0006523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007717727,"threshold_uncertainty_score":0.04081571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03945589242960345,"score_gpt":0.3257884415269154,"score_spread":0.2863325490973119,"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."}}