{"id":"W2892376960","doi":"10.1002/app.47045","title":"A quantitative method to compare the effect of thermal aging on the mechanical performance of fire protective fabrics","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Alberta","funders":"Mitacs; École de technologie supérieure","keywords":"Arrhenius equation; Materials science; Superposition principle; Composite material; Thermal; Structural engineering; Thermodynamics; Mathematics; Activation energy; Engineering; Chemistry; Physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004265793,0.001065376,0.0004399828,0.003358788,0.0003246673,0.0005715202,0.0007423165,0.0006301533,0.002344999],"category_scores_gemma":[0.005187099,0.000347109,0.0005198177,0.001660373,0.0006235446,0.0007245098,0.0005174601,0.0008119836,0.0007102353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306397,"about_ca_system_score_gemma":0.0003057177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004039218,"about_ca_topic_score_gemma":0.000551128,"domain_scores_codex":[0.9963277,0.001149628,0.0003015048,0.0004507448,0.001685911,0.00008437211],"domain_scores_gemma":[0.9930813,0.003281291,0.0009670204,0.000907957,0.00163711,0.0001254046],"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":[0.0003022738,0.0002203818,0.005465358,0.0005601416,0.00009052047,0.00005044819,0.0003328781,0.001321416,0.9481418,0.0005753949,0.0002108214,0.04272857],"study_design_scores_gemma":[0.00002311113,0.002373046,0.03906452,0.00007235738,0.0001620927,0.0004430276,0.0003107735,0.01994561,0.9333483,0.0004343721,0.003716556,0.0001061697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.483043,0.004501293,0.5026233,0.0001011949,0.00034593,0.0006728873,0.001957184,0.001212338,0.005542935],"genre_scores_gemma":[0.7822815,0.001296434,0.2114832,0.00005943433,0.00006162776,0.0008587985,0.0008281222,0.0001184527,0.003012548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004265793,"threshold_uncertainty_score":0.02256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050127125520453,"score_gpt":0.3348741334038382,"score_spread":0.3043728621486337,"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."}}