{"id":"W2989518663","doi":"10.1016/j.jspd.2019.01.012","title":"An Updated Algorithm for Radiographic Screening of Upper Cervical Instability in Patients With Down Syndrome","year":2019,"lang":"en","type":"article","venue":"Spine Deformity","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Radiography; Myelopathy; Cervical spine; Spinal cord compression; Cervical vertebrae; Cord; Orthopedic surgery; Retrospective cohort study; Radiology; Confidence interval; Surgery; Spinal cord; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348703,0.0001337016,0.0003686821,0.0002155035,0.00002434578,0.000006256008,0.0000879033,0.0001200097,0.0001364937],"category_scores_gemma":[0.00001490992,0.00009286169,0.00009131331,0.0003783529,0.00004396771,0.000198291,0.00001915285,0.0001721372,0.000001336009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004231884,"about_ca_system_score_gemma":0.00003405032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002366742,"about_ca_topic_score_gemma":0.000019196,"domain_scores_codex":[0.9989936,0.00001765741,0.0003081898,0.0002494318,0.0002314384,0.0001996469],"domain_scores_gemma":[0.9992226,0.000006145303,0.0001146551,0.0003561352,0.0002094519,0.00009098682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003671228,0.0003975382,0.9660659,0.0000689046,0.00002582503,0.000001326092,0.00002279801,0.000003170848,0.00005236563,0.00007207492,0.000007641571,0.03291538],"study_design_scores_gemma":[0.002998746,0.003410373,0.9902129,0.00007027716,0.00002817167,0.00001079777,0.00002470756,0.00186047,0.0009446964,0.0001070692,0.0002132461,0.0001185278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814228,0.00001396247,0.0170506,0.00006953511,0.00003085385,0.001225131,0.0000474081,0.00006282127,0.00007686004],"genre_scores_gemma":[0.96579,0.000001494732,0.03349057,0.0001406899,0.00001370091,0.00002374128,0.0005132318,0.00001614171,0.00001036864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03279685,"threshold_uncertainty_score":0.3786789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006266860686829212,"score_gpt":0.2556558810543355,"score_spread":0.2493890203675062,"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."}}