{"id":"W4386352365","doi":"10.1016/j.jobe.2023.107634","title":"Enhancing the performance of anti-blast windows through the use of carbon nanotube reinforced polymer gaskets","year":2023,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Gasket; Materials science; Explosive material; Framing (construction); Carbon nanotube; Structural engineering; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004139072,0.0001982202,0.0003638928,0.0002269187,0.00004636682,0.00002826008,0.000390357,0.00007347501,0.000005970395],"category_scores_gemma":[0.0002882069,0.0001240627,0.0001641941,0.0006630853,0.00004560563,0.0003291311,0.00006795814,0.0004049831,7.221856e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803017,"about_ca_system_score_gemma":0.00003953249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002231186,"about_ca_topic_score_gemma":9.95198e-7,"domain_scores_codex":[0.9984211,0.00002363897,0.0007316067,0.00008065585,0.0004231319,0.0003198847],"domain_scores_gemma":[0.9987258,0.0005964239,0.0002465704,0.000295637,0.00009348956,0.00004208416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001298439,5.771245e-7,0.00008573446,0.00007132532,0.00006072523,0.000004153707,0.0004356422,0.5322207,0.466875,0.00005184822,0.00001653192,0.0001647862],"study_design_scores_gemma":[0.0001909665,0.00004169923,0.003092917,0.0003505793,0.00003253247,0.00009755805,0.00006107865,0.4601129,0.535736,0.00000165725,0.0001790337,0.0001031372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959505,0.0003389447,0.002681495,0.0000525403,0.0007835572,0.0000960433,0.00000263844,0.0000758377,0.00001843482],"genre_scores_gemma":[0.9984701,0.0002124427,0.001031884,0.000009378739,0.0001481178,0.000002177431,3.667954e-7,0.00005087652,0.00007459927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0721078,"threshold_uncertainty_score":0.505913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262201029823049,"score_gpt":0.2159417897449399,"score_spread":0.2033197794467094,"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."}}