{"id":"W2530481020","doi":"10.1016/j.clinbiomech.2016.10.008","title":"Biomechanical analysis of proximal junctional failure following adult spinal instrumentation using a comprehensive hybrid modeling approach","year":2016,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":17,"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 Research Chairs; Agence Nationale de la Recherche; Medtronic","keywords":"Biomechanics; Vertebra; Instrumentation (computer programming); Spinal fusion; Medicine; Anatomy; Surgery; Computer science","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":[0.000448011,0.0006468223,0.0007024535,0.0008868399,0.0003854111,0.0006623272,0.000895036,0.001255113,0.001499953],"category_scores_gemma":[0.0008483293,0.0004953765,0.0009172038,0.0004893181,0.0004094724,0.0004516857,0.0005345265,0.0003352066,0.0002561632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003613676,"about_ca_system_score_gemma":0.0005718226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00817363,"about_ca_topic_score_gemma":0.00800811,"domain_scores_codex":[0.9998287,0.0000453462,0.00001304196,0.00002654395,0.00005619505,0.00003029929],"domain_scores_gemma":[0.9996556,0.0001664673,0.00006286393,0.00003136263,0.00006317604,0.00002045147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001011684,0.0001213435,0.004139956,0.00004619201,0.00005228573,0.0002372901,0.00007864827,0.9778197,0.005618636,0.0004413016,0.0001261541,0.01121725],"study_design_scores_gemma":[0.000003299407,0.00007768374,0.002743613,0.000004071159,0.00001443883,0.000049854,0.00002860435,0.9965445,0.0003151943,0.0001425107,0.00006891666,0.000007376475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8664865,0.0004486884,0.1267675,0.0001497016,0.00003612207,0.0001051945,0.0002786301,0.0003027509,0.005424865],"genre_scores_gemma":[0.9942976,0.00009646669,0.004594902,0.00001365096,0.000007730266,0.00003517089,0.00006627852,0.00001635268,0.0008719142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00817363,"threshold_uncertainty_score":0.01625216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056849173535996,"score_gpt":0.3873054343443538,"score_spread":0.2816205169907542,"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."}}