{"id":"W3094148882","doi":"10.1016/j.clinbiomech.2020.105200","title":"In silico patient-specific optimization of correction strategies for thoracic adolescent idiopathic scoliosis","year":2020,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Scoliosis; Coronal plane; Thoracic vertebrae; Instrumentation (computer programming); Vertebra; Orthodontics; Idiopathic scoliosis; Medicine; Computer science; Surgery; Lumbar vertebrae; Lumbar; Anatomy","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":[0.0003087963,0.0001558085,0.0005243729,0.0001253672,0.00003295397,0.00002140113,0.0000714694,0.0002096372,0.0000243475],"category_scores_gemma":[0.0003281993,0.0001365392,0.0002393567,0.0005893456,0.00004131633,0.0001043552,0.0000375772,0.000164566,0.00001247906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007473803,"about_ca_system_score_gemma":0.0001341695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005510216,"about_ca_topic_score_gemma":0.000003132968,"domain_scores_codex":[0.9982195,0.00008911768,0.0009015202,0.0003952414,0.0002033819,0.0001912585],"domain_scores_gemma":[0.9990812,0.00009346095,0.0002631906,0.0002087071,0.0001844971,0.0001689311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02456183,0.0467492,0.1090723,0.006866793,0.001125676,0.0002604468,0.004533934,0.01534555,0.04347686,0.009914619,0.02634957,0.7117432],"study_design_scores_gemma":[0.02031013,0.04183388,0.01715922,0.009071252,0.001153292,0.00003338469,0.006928097,0.6666434,0.2257431,0.001779741,0.007950833,0.00139371],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987151,0.005927163,0.08136763,0.006313607,0.003315166,0.004052223,0.0000518399,0.0001536188,0.0001036399],"genre_scores_gemma":[0.9952834,0.001552994,0.001394728,0.001426001,0.0001861435,0.0001106301,0.00001976768,0.00002428396,0.000002025491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7103495,"threshold_uncertainty_score":0.5567906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001002075535791,"score_gpt":0.3816661772025559,"score_spread":0.2815659696489768,"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."}}