{"id":"W1974932379","doi":"10.1177/0021998308101299","title":"Response Sensitivity and Parameter Importance in Composites Manufacturing","year":2009,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sensitivity (control systems); Computation; Process (computing); Implementation; Computer science; Finite difference; Materials science; Applied mathematics; Mathematical optimization; Algorithm; Mathematics; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001247888,0.0006799151,0.0004915684,0.0006149811,0.0002760924,0.0005942836,0.0005385456,0.0007584507,0.001202227],"category_scores_gemma":[0.007680197,0.0004336553,0.0005500559,0.0003622021,0.0008312996,0.0008034552,0.0007097428,0.0007867778,0.0002225899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315292,"about_ca_system_score_gemma":0.0004433877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909704,"about_ca_topic_score_gemma":0.0007937083,"domain_scores_codex":[0.9990547,0.0002738194,0.00003716094,0.0001026005,0.0004621287,0.00006959269],"domain_scores_gemma":[0.9971952,0.002073962,0.0001726795,0.0003050293,0.000233603,0.00001947504],"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":[0.00004984249,0.0000316209,0.001207365,0.00008829632,0.00001507525,0.0001208821,0.00008053146,0.9453899,0.0287696,0.008244695,0.0001141454,0.01588809],"study_design_scores_gemma":[0.000003645375,0.00002882216,0.0005646044,0.000008272126,0.000005875097,0.00005949816,0.00001317088,0.9755695,0.02026067,0.002964718,0.0005065612,0.00001460159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1659213,0.0003959819,0.825068,0.0002116485,0.00005660509,0.00006459673,0.00006082114,0.0009125251,0.00730865],"genre_scores_gemma":[0.968947,0.0001632503,0.02976945,0.00004382305,0.000008862428,0.00003902244,0.00003378113,0.000105768,0.0008890254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001909704,"threshold_uncertainty_score":0.006599486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008875762018457294,"score_gpt":0.2347587053310499,"score_spread":0.2258829433125926,"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."}}