{"id":"W2035565020","doi":"10.1007/s10999-010-9145-z","title":"A single step process to design a custom mattress that relieves trunk shear forces","year":2011,"lang":"en","type":"article","venue":"International Journal of Mechanics and Materials in Design","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Structural engineering; Finite element method; Curvature; Process (computing); Trunk; Solid mechanics; Computer science; Engineering; Mechanical engineering; Mathematics; Materials science; Geometry","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":[0.0005109145,0.0007445017,0.0003339429,0.0006378304,0.0003867396,0.0003779509,0.000680858,0.000558154,0.006631349],"category_scores_gemma":[0.000755235,0.0003947616,0.0005763914,0.0002951988,0.0002975689,0.0004048302,0.0003955893,0.0007664067,0.002090759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453321,"about_ca_system_score_gemma":0.0004574049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002983604,"about_ca_topic_score_gemma":0.001124375,"domain_scores_codex":[0.9996611,0.00002597956,0.00002483587,0.00005851604,0.0001965756,0.00003301178],"domain_scores_gemma":[0.9995267,0.00007095962,0.00008607185,0.000091657,0.0001783615,0.00004628731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001017327,0.0002628764,0.0008245511,0.0004543505,0.00003860189,0.0003399312,0.0002482464,0.004388933,0.8950697,0.00185443,0.002547479,0.09386924],"study_design_scores_gemma":[0.0001260564,0.003354741,0.008665794,0.00009859919,0.0001721451,0.002718854,0.0002349315,0.03726976,0.8813177,0.001356214,0.06454381,0.0001413716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614628,0.0005284081,0.7087809,0.0003132138,0.0009061576,0.001485799,0.0005634042,0.002800064,0.02315928],"genre_scores_gemma":[0.412728,0.0002535957,0.56521,0.0002071929,0.00008881135,0.0003992551,0.0003390333,0.0004012053,0.0203729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006631349,"threshold_uncertainty_score":0.02218407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05573556727717414,"score_gpt":0.3017155088706829,"score_spread":0.2459799415935088,"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."}}