{"id":"W2158499891","doi":"10.4271/2012-01-0955","title":"Sensitivity/Uncertainty Analysis of Material Thermal Degradation Models","year":2012,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Epoxy Resin Curing Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Sensitivity (control systems); Degradation (telecommunications); Thermal; Materials science; Environmental science; Computer science; Engineering; Thermodynamics; Physics","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":[0.0004333866,0.0001116967,0.0002816934,0.0002891599,0.00001848669,0.00006799043,0.0001067329,0.00004919627,0.00009547293],"category_scores_gemma":[0.00001619236,0.00009520567,0.00006715271,0.00003656226,0.00002309886,0.0005506516,0.00004207942,0.00005359518,7.267813e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050659,"about_ca_system_score_gemma":0.000008408629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000597047,"about_ca_topic_score_gemma":0.00001370465,"domain_scores_codex":[0.9990894,0.00003625844,0.0004198871,0.00005839484,0.0002582901,0.0001378346],"domain_scores_gemma":[0.9995077,0.00005656636,0.0002195169,0.00006181857,0.00009968966,0.00005465594],"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":[0.0001261665,0.00003535499,0.0007000902,0.00009694154,0.001616321,0.00001249528,0.0004500161,0.2425344,0.7508367,0.000203847,0.00002381166,0.003363947],"study_design_scores_gemma":[0.0001865493,0.00001193214,0.0391999,0.00005532671,0.0002266925,0.00004918241,0.00004201033,0.0008233947,0.9590302,0.0001639746,0.0001161763,0.00009472204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967859,0.0001364826,0.001354966,0.00002555613,0.001452315,0.00003080913,0.0000647971,0.00001926662,0.0001299277],"genre_scores_gemma":[0.9987371,0.0001737864,0.0006130327,0.00001122832,0.0004261952,9.167846e-7,0.0000172385,0.00001382755,0.000006702111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.241711,"threshold_uncertainty_score":0.3882375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488904979679703,"score_gpt":0.2408673001060967,"score_spread":0.2259782503092997,"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."}}