{"id":"W4282033179","doi":"10.1016/j.clinbiomech.2022.105689","title":"Development and evaluation of a numerical spine model comprising intra-abdominal pressure for use in assessing physiological changes on abdominal compliance and spinal stability","year":2022,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Abdominal Surgery and Complications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Abdomen; Core stability; Medicine; Compliance (psychology); Abdominal wall; Abdominal compartment syndrome; Abdominal obesity; Fascia; Elasticity (physics); Surgery; Biomedical engineering; Materials science; Physical therapy; Internal medicine; Composite material; Obesity; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005565343,0.0005594021,0.0006334516,0.0003792152,0.0004296846,0.0008106032,0.00168256,0.001248829,0.002737698],"category_scores_gemma":[0.002204714,0.0003726791,0.0005443437,0.0003094395,0.0003715167,0.0005459012,0.0005576185,0.0006082687,0.0005579644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938126,"about_ca_system_score_gemma":0.001582734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047515,"about_ca_topic_score_gemma":0.006890046,"domain_scores_codex":[0.9997886,0.00004211946,0.00002150599,0.0000328663,0.00009779872,0.00001716747],"domain_scores_gemma":[0.9990976,0.0003087343,0.00008046314,0.000110709,0.0003509164,0.00005164509],"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":[0.00008522679,0.0001947491,0.003650694,0.0001180109,0.00003943101,0.0001597047,0.00009028595,0.9526899,0.01780522,0.00177477,0.0004590158,0.02293298],"study_design_scores_gemma":[0.00001357032,0.0000417245,0.0004121843,0.000004867045,0.000008645061,0.00002193593,0.00001236751,0.9970044,0.001797658,0.0001457883,0.0005300983,0.000006782273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1933656,0.0001475809,0.7944605,0.0002669276,0.0001447632,0.000602835,0.0007676004,0.002173499,0.008070651],"genre_scores_gemma":[0.8035206,0.0002158019,0.191366,0.00006844447,0.00001968216,0.0006302128,0.0005257486,0.0002220949,0.003431538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01047515,"threshold_uncertainty_score":0.02082837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4665187106083744,"score_gpt":0.4659210583225025,"score_spread":0.0005976522858718858,"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."}}