{"id":"W4401422035","doi":"10.1007/978-3-031-60255-9_13","title":"Elastomer Service Life: The Role of Thermal and Mechanical Test Data in Predictive Analysis","year":2024,"lang":"en","type":"book-chapter","venue":"Springer proceedings in earth and environmental sciences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Elastomer; Test (biology); Service life; Materials science; Psychology; Composite material; Geology","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":[0.0004289115,0.0001495044,0.0002080648,0.0001881103,0.00004044722,0.00007550722,0.0003031014,0.00008410381,0.0001462431],"category_scores_gemma":[0.000007537341,0.000108625,0.00001972484,0.0001458052,0.0002414856,0.0001793447,0.0005488511,0.000211278,0.000007166085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001461094,"about_ca_system_score_gemma":0.000008833591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004980927,"about_ca_topic_score_gemma":0.00007445111,"domain_scores_codex":[0.9989554,0.000002289624,0.0002009499,0.0003472505,0.0003004103,0.0001937042],"domain_scores_gemma":[0.9997696,0.00004017424,0.00003075203,0.00009926222,0.000002652041,0.00005752213],"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":[0.0002022241,0.0001238619,0.3772425,0.00180648,0.001658136,0.00003116369,0.006960401,0.00246872,0.5442505,0.01361402,0.00005546591,0.05158652],"study_design_scores_gemma":[0.001277786,0.0009737106,0.2834406,0.001381086,0.0013444,0.00002010144,0.00981543,0.624373,0.02298686,0.007579048,0.04454069,0.00226728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947647,0.003238808,7.93491e-7,0.00005301998,0.00003285052,0.0001859047,0.0001037801,0.00001501723,0.04872278],"genre_scores_gemma":[0.9973032,0.00205215,0.00002927373,0.0000171229,0.0000377865,0.000007223228,0.000008177309,0.00001173423,0.0005333446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6219043,"threshold_uncertainty_score":0.4429597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198027009688695,"score_gpt":0.2086644216726364,"score_spread":0.1966841515757494,"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."}}