{"id":"W2980977682","doi":"10.1016/j.clinbiomech.2019.10.014","title":"Biomechanical analysis of sagittal correction parameters for surgical instrumentation with pedicle subtraction osteotomy in adult spinal deformity","year":2019,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Medtronic","keywords":"Osteotomy; Rod; Subtraction; Biomechanics; Sagittal plane; Instrumentation (computer programming); Deformity; Orthodontics; Bending; Medicine; Materials science; Surgery; Mathematics; Anatomy; Computer science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006439828,0.0001893525,0.0007886746,0.0005587101,0.00003189037,0.00001655478,0.0000718168,0.0002713502,0.00005897537],"category_scores_gemma":[0.0001805133,0.0001446622,0.0004722198,0.001571415,0.00005457655,0.0001388624,0.0000268868,0.0002006056,0.00001808195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007576,"about_ca_system_score_gemma":0.0001029502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001813271,"about_ca_topic_score_gemma":0.0001879096,"domain_scores_codex":[0.9978391,0.00008012298,0.0009223415,0.0005197814,0.0003674153,0.0002712455],"domain_scores_gemma":[0.9984977,0.0004190887,0.0003655982,0.0003086138,0.000234763,0.0001742959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01248599,0.005241664,0.8133604,0.0001681691,0.002059842,0.00003839682,0.00005725509,0.0000462188,0.001956414,0.001055921,0.00005296767,0.1634768],"study_design_scores_gemma":[0.0542099,0.04884504,0.5706879,0.0009504021,0.01022155,0.0002729093,0.001589585,0.2083864,0.1029922,0.0003960901,0.0005125712,0.0009353492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965054,0.00001993765,0.001119661,0.0002842972,0.0006900827,0.001275727,0.00003030822,0.00003443566,0.00004019045],"genre_scores_gemma":[0.9979483,0.00008680804,0.001385203,0.0001492022,0.00004896726,0.0001214776,0.0002159015,0.00001838333,0.00002572462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2426724,"threshold_uncertainty_score":0.5899153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283001408626197,"score_gpt":0.3733558495771316,"score_spread":0.3305258354908696,"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."}}