{"id":"W4307044468","doi":"10.1016/j.cscm.2022.e01604","title":"Damage evolution models of static pre-loaded concrete under impact load based on the Weibull distribution","year":2022,"lang":"en","type":"article","venue":"Case Studies in Construction Materials","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weibull distribution; Dissipation; Split-Hopkinson pressure bar; Dynamic load testing; Structural engineering; Materials science; Dynamic loading; Geotechnical engineering; Composite material; Geology; Engineering; Strain rate; Mathematics","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":[0.0006402446,0.0002265202,0.0003659514,0.0001095131,0.0001940039,0.00002260117,0.0001198482,0.00005075934,0.000443835],"category_scores_gemma":[0.0002744228,0.0001778686,0.00006778541,0.0003199235,0.0003413083,0.0001190323,0.00009023034,0.0001717514,0.000002825666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889242,"about_ca_system_score_gemma":0.0001014089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028129,"about_ca_topic_score_gemma":0.00000518897,"domain_scores_codex":[0.998267,0.0004355644,0.000505082,0.0002083613,0.0003265684,0.0002574156],"domain_scores_gemma":[0.9988368,0.0005437991,0.0001497569,0.0003315158,0.0001051557,0.00003299176],"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":[0.0006118469,0.000005557608,0.00005884381,0.0001624814,0.0001776417,0.0001462707,0.0006219784,0.8985171,0.09296685,0.006005553,0.0005097392,0.0002160766],"study_design_scores_gemma":[0.004466144,0.0006869689,0.00255959,0.0002808825,0.0002485311,0.003494925,0.01607141,0.8497501,0.0957024,0.02551581,0.00009130527,0.001131946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926211,0.0001336198,0.003666075,0.00006709751,0.001365827,0.0004984824,0.001458859,0.0001041839,0.0000847793],"genre_scores_gemma":[0.9995113,0.00001703291,0.0001764246,0.00002256066,0.00003487804,0.0001471169,0.00005599556,0.00002280061,0.00001186806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04876708,"threshold_uncertainty_score":0.7253269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567826573709097,"score_gpt":0.2858476219777961,"score_spread":0.2601693562407051,"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."}}