{"id":"W4399792519","doi":"10.1007/978-981-99-8048-2_146","title":"Direct Differentiation Sensitivity Analysis Based on Reduced Multibody System Transfer Matrix Method","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Multibody system; Sensitivity (control systems); Matrix (chemical analysis); Transfer-matrix method (optics); Transfer (computing); Computer science; Biological system; Chemistry; Physics; Engineering; Biology; Chromatography; Classical mechanics; Electronic engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007666068,0.0008993834,0.001616811,0.0009418723,0.00003399181,0.0001149964,0.0002206484,0.001153501,0.00004611623],"category_scores_gemma":[0.00009433028,0.000847553,0.0009442208,0.0003983686,0.000006150779,0.00004175802,0.00003579443,0.001449846,0.00003981573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008600827,"about_ca_system_score_gemma":0.00002026163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003083822,"about_ca_topic_score_gemma":0.0001247324,"domain_scores_codex":[0.9971097,0.00006586817,0.0008433447,0.0008440092,0.0006030228,0.0005341191],"domain_scores_gemma":[0.9980882,0.0009898496,0.00005132029,0.0006307054,0.00004829003,0.000191655],"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":[0.00002662506,0.00001270626,2.056238e-7,0.0007762851,0.000929774,0.0001252068,0.00001579891,0.9290927,0.03028545,0.03673286,0.000001019393,0.002001377],"study_design_scores_gemma":[0.0003909263,0.0000569849,0.000004399743,0.001137775,0.001295316,0.00000637443,8.225041e-7,0.9916787,0.003937254,0.0004330904,0.0002595446,0.0007988668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002180153,0.0004497864,0.9921458,0.00005240842,0.001506453,0.0005634367,0.0001597034,0.001194379,0.003710043],"genre_scores_gemma":[0.9954748,0.00002073234,0.003155222,0.00002252395,0.0003868304,0.00005991807,0.000145488,0.0003038946,0.0004305876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9952568,"threshold_uncertainty_score":0.9993975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005197102831218612,"score_gpt":0.2147702288301603,"score_spread":0.2095731259989417,"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."}}