{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661152,0.0002204413,0.0004627201,0.00006595478,0.00002751907,0.00004694425,0.0001142274,0.0003962458,0.0006709475],"category_scores_gemma":[0.00001640179,0.0002128391,0.0001482988,0.0000303926,0.00007925105,0.00003660911,0.0001959376,0.0003602483,0.000005078028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000636632,"about_ca_system_score_gemma":0.00005150591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915897,"about_ca_topic_score_gemma":0.0007190739,"domain_scores_codex":[0.9986982,0.0001705957,0.0002774176,0.0005580768,0.00008416227,0.0002114901],"domain_scores_gemma":[0.9989859,0.00006748048,0.0001247811,0.0006300522,0.0000948349,0.00009691291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001631104,0.003825204,0.04400126,0.008249887,0.02182222,0.0005633956,0.0293576,0.006010864,0.05125373,0.04294789,0.01217799,0.7781588],"study_design_scores_gemma":[0.01305916,0.0008654564,0.8582918,0.0007634379,0.00336504,0.0001285426,0.01874456,0.04843736,0.001383431,0.007202143,0.04362692,0.004132141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578183,0.003738368,0.006134517,0.0005185141,0.0009985289,0.000441031,0.00006379891,0.00005930446,0.0302276],"genre_scores_gemma":[0.9966058,0.00007733352,0.001101309,0.0002928529,0.00008941522,0.000008554246,0.00006292647,0.00003541612,0.001726387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8142906,"threshold_uncertainty_score":0.8679325,"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."}}