{"id":"W2016974460","doi":"10.1007/s11832-013-0539-y","title":"Reliability of assessing the coronal curvature of children with scoliosis by using ultrasound images","year":2013,"lang":"en","type":"article","venue":"Journal of Children s Orthopaedics","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; Alberta Health Services; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronal plane; Scoliosis; Medicine; Cobb angle; Imaging phantom; Nuclear medicine; Orthodontics; Curvature; Vertebra; Correlation coefficient; Ultrasound; Mathematics; Anatomy; Radiology; Statistics; Surgery; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005313448,0.0004695831,0.0004806217,0.0009572209,0.0001829328,0.0006741539,0.0004305606,0.0005162816,0.000582194],"category_scores_gemma":[0.02415613,0.0002722732,0.0004056471,0.0003934493,0.0005839354,0.0005068134,0.0006495496,0.000305972,0.0003158525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272326,"about_ca_system_score_gemma":0.0002059952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107481,"about_ca_topic_score_gemma":0.001505157,"domain_scores_codex":[0.9947523,0.0018322,0.0006526164,0.0009841201,0.001621887,0.0001568847],"domain_scores_gemma":[0.9806873,0.008709902,0.003447645,0.001689329,0.005104313,0.0003616468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001074842,0.00005244933,0.9483663,0.0001596003,0.0003884011,0.00008777781,0.001225198,0.001085717,0.01590264,0.00006420761,0.0002001344,0.03139282],"study_design_scores_gemma":[0.00002222033,0.0006243963,0.983396,0.00004458058,0.000168157,0.000840332,0.0004802887,0.005355469,0.00839633,0.00006948757,0.0005683289,0.00003433173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926963,0.0005222687,0.005769658,0.00001685755,0.00002640796,0.0000310832,0.0001142125,0.00007276766,0.0007505618],"genre_scores_gemma":[0.9967174,0.0000797812,0.002911593,0.00000844107,0.000009548025,0.00001640806,0.0001290783,0.00001668114,0.000111128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005313448,"threshold_uncertainty_score":0.02810049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105301943571004,"score_gpt":0.2789299891331867,"score_spread":0.2683997947760863,"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."}}