{"id":"W2924261604","doi":"10.2519/jospt.2019.8793","title":"Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?","year":2019,"lang":"en","type":"article","venue":"Journal of Orthopaedic and Sports Physical Therapy","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; National Institutes of Health","keywords":"Medicine; Magnetic resonance imaging; Nuclear magnetic resonance; Radiology","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":[0.01118019,0.0008971381,0.002112706,0.002405157,0.001723209,0.004640588,0.00449826,0.01438918,0.004326138],"category_scores_gemma":[0.07813321,0.0006403371,0.001105466,0.001732318,0.007821253,0.007521614,0.001660097,0.02654306,0.00372648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002998086,"about_ca_system_score_gemma":0.004346703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005685686,"about_ca_topic_score_gemma":0.007936413,"domain_scores_codex":[0.989532,0.00379992,0.002160707,0.0009882761,0.003167983,0.0003511395],"domain_scores_gemma":[0.8764295,0.08295475,0.004567626,0.003133065,0.03025339,0.002661641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009421305,0.00001915663,0.0004322352,0.003578848,0.00005672048,0.001051788,0.0006541394,0.0001474015,0.0005391085,0.009329037,0.9396362,0.04446114],"study_design_scores_gemma":[0.00002664142,0.00005631174,0.001178877,0.007523632,0.00005580636,0.0029831,0.001028146,0.0002045521,0.0002461677,0.01947769,0.967122,0.00009722246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003576234,0.136569,0.001158437,0.7114366,0.1483943,0.00003707291,0.0001560687,0.00006926938,0.001821601],"genre_scores_gemma":[0.007807262,0.1252454,0.002156196,0.5811298,0.27964,0.0001069046,0.0001141831,0.0000665179,0.003733698],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438918,"threshold_uncertainty_score":0.05912721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662520999945969,"score_gpt":0.2632609460897783,"score_spread":0.2466357360903187,"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."}}