{"id":"W4400588739","doi":"10.1007/s10694-024-01606-9","title":"Pruning Long Short-Term Memory: A Model for Predicting the Stress–Strain Relationship of Normal and Lightweight Aggregate Concrete at Finite Temperature","year":2024,"lang":"en","type":"article","venue":"Fire Technology","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Structural engineering; Aggregate (composite); Finite element method; Stress (linguistics); Term (time); Forensic engineering; Engineering; Materials science; Composite material","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":[0.000294466,0.0002262516,0.0002903706,0.0001716113,0.0001517683,0.00006255131,0.0002269199,0.0004296523,0.00001185762],"category_scores_gemma":[0.0002245514,0.0001798422,0.00005795811,0.0002638965,0.0001719871,0.0001404787,0.0001304975,0.0003694069,0.000003149711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005242736,"about_ca_system_score_gemma":0.00002671672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001879371,"about_ca_topic_score_gemma":0.00001234868,"domain_scores_codex":[0.9989517,0.0000300335,0.000328088,0.000270568,0.0001020955,0.0003174776],"domain_scores_gemma":[0.9990016,0.0005491179,0.00004669731,0.0003291741,0.00003765975,0.00003576689],"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":[0.0001102712,0.000005099161,0.01948717,0.005340743,0.0005794273,0.0001502604,0.005082249,0.02712506,0.9181653,0.006765144,0.00136133,0.01582798],"study_design_scores_gemma":[0.0002312061,0.00007701597,0.0006735004,0.0006827786,0.00008481052,0.00005521987,0.00005196907,0.8920384,0.1054566,0.0003125383,0.0001185211,0.0002174453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920416,0.003568788,0.001115038,0.0004700078,0.0003390977,0.0006209018,0.0005961856,0.001132092,0.0001162119],"genre_scores_gemma":[0.9983876,0.00005595155,0.0009320851,0.00001027795,0.00009751827,0.0001718284,0.00007801165,0.00006856639,0.0001981607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8649133,"threshold_uncertainty_score":0.7333752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062276053184625,"score_gpt":0.2224262979989893,"score_spread":0.2118035374671431,"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."}}