{"id":"W2588213702","doi":"10.1016/j.clinbiomech.2017.02.007","title":"Impact of anchor type on porcine lumbar biomechanics: Finite element modelling and in-vitro validation","year":2017,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation","keywords":"Biomechanics; Transverse plane; Intervertebral disc; Orthodontics; Lumbar; Finite element method; Vertebra; Anatomy; Kyphosis; Fixation (population genetics); Lumbar vertebrae; Annulus (botany); Materials science; Biomedical engineering; Medicine; Structural engineering; Surgery; Engineering; Radiography","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":[0.0007020479,0.0001778631,0.0005758741,0.0002076186,0.00005977736,0.0000205306,0.0001681506,0.0002478697,0.0001186604],"category_scores_gemma":[0.0007258416,0.0001404051,0.0002172547,0.0001243291,0.00006906776,0.00007906857,0.0001306733,0.0002551554,0.00004626112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005039411,"about_ca_system_score_gemma":0.00007336429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004266059,"about_ca_topic_score_gemma":0.000002491561,"domain_scores_codex":[0.9983781,0.0000572586,0.0007508207,0.0003974337,0.0001613622,0.0002550396],"domain_scores_gemma":[0.9986343,0.0000356672,0.0003648271,0.0006682484,0.0001403078,0.0001566335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003448895,0.002814119,0.007193768,0.000274224,0.0004507025,0.0001785265,0.0001273182,0.0001029972,0.8790867,0.0008111419,0.001255028,0.1042566],"study_design_scores_gemma":[0.01208024,0.03072868,0.04644009,0.0007883332,0.0003798775,0.0000406026,0.00007776121,0.6535878,0.2472663,0.007471866,0.0004260985,0.0007124117],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943956,0.0001338552,0.004064717,0.000361354,0.0004343257,0.000317814,0.00004179303,0.00002042644,0.0002301626],"genre_scores_gemma":[0.9969242,0.0008889373,0.001568833,0.0002598056,0.0001365109,0.000005126188,0.00007980186,0.00002223354,0.0001145047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6534847,"threshold_uncertainty_score":0.5725554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287605588670622,"score_gpt":0.4304863476060302,"score_spread":0.301725788738968,"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."}}