{"id":"W2906245559","doi":"10.32920/ryerson.14657127.v1","title":"Pressure sensing and control of an aircraft passenger seat","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cushion; Deflection (physics); Morphing; Airplane; Automotive engineering; Engineering; Surface pressure; Discretization; Wing; Structural engineering; Simulation; Computer science; Aerospace engineering; Mechanics; Mathematics","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":[0.00008582893,0.0002368553,0.0001495718,0.00008437398,0.0001468001,0.0004097637,0.0002698612,0.000190603,0.001498317],"category_scores_gemma":[0.0002084772,0.00009645643,0.000121866,0.0000537307,0.0001495623,0.0001573461,0.0002583922,0.0001305506,0.0001844186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009110283,"about_ca_system_score_gemma":0.0001575067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002077254,"about_ca_topic_score_gemma":0.001330968,"domain_scores_codex":[0.9999292,0.000007822912,0.000003170735,0.00001874219,0.00003043042,0.00001061194],"domain_scores_gemma":[0.9999535,0.00001231478,0.000006425064,0.000005984233,0.00001546351,0.000006308313],"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":[0.000436681,0.0001129044,0.002383034,0.0001807348,0.00001726419,0.0002933977,0.0003870369,0.03378617,0.8667633,0.001684091,0.0006067361,0.09334866],"study_design_scores_gemma":[0.00005643267,0.001424325,0.01902265,0.00004212708,0.0000504261,0.0004351392,0.0002852809,0.7912529,0.1783295,0.001342997,0.007720055,0.00003819867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6671415,0.0004318665,0.3234157,0.0001284823,0.00008411257,0.00007829445,0.0001345428,0.001037995,0.007547398],"genre_scores_gemma":[0.9927509,0.00009152654,0.005616131,0.00001297142,0.00001111471,0.00001109294,0.00001855034,0.000007015104,0.001480791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002077254,"threshold_uncertainty_score":0.005012333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175483632540106,"score_gpt":0.2845337559084213,"score_spread":0.2727789195830203,"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."}}