{"id":"W4389904153","doi":"10.1016/j.tws.2023.111509","title":"Out-of-plane compressive response of aluminum honeycomb sandwich panels: Adhesive geometry and bonding effects","year":2023,"lang":"en","type":"article","venue":"Thin-Walled Structures","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada; Royal Ottawa Mental Health Centre; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Canadian Armed Forces","keywords":"Materials science; Adhesive; Composite material; Honeycomb structure; Honeycomb; Fillet (mechanics); Sandwich-structured composite; Finite element method; Buckling; Aluminium; Compressive strength; Structural engineering; Adhesive bonding; Core (optical fiber)","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":[0.0001275819,0.0002652968,0.0001297531,0.0001429557,0.0001541135,0.0001979451,0.0002095693,0.0002527447,0.002881411],"category_scores_gemma":[0.0004260336,0.0001382853,0.0001070564,0.0001538884,0.0002263115,0.0002030083,0.0001862425,0.0002181206,0.0003300312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277164,"about_ca_system_score_gemma":0.0001239098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008734725,"about_ca_topic_score_gemma":0.001770729,"domain_scores_codex":[0.999891,0.00001690218,0.0000029015,0.00001591738,0.00004302015,0.00003029448],"domain_scores_gemma":[0.9996332,0.0001370007,0.00005454101,0.00002825549,0.00009819525,0.00004880127],"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":[0.0002742839,0.00006982733,0.0008431605,0.00002334635,0.000005857822,0.0001118171,0.00006110859,0.003793802,0.9916293,0.00009029264,0.0002060789,0.002891028],"study_design_scores_gemma":[0.00002001333,0.000500495,0.01877946,0.00001084703,0.00002099022,0.0001398116,0.0002794276,0.06218343,0.9174702,0.00009357395,0.0004818669,0.0000198561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973711,0.00004568836,0.0008614236,0.00002019541,0.000009979241,0.00000301668,0.00005455529,0.00002895194,0.001605151],"genre_scores_gemma":[0.9992487,0.00002486968,0.0001827814,0.000008480733,0.000003266525,0.000001834213,0.00002999653,0.000005218345,0.0004949232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002881411,"threshold_uncertainty_score":0.009639263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009007049844358244,"score_gpt":0.2269888892384574,"score_spread":0.2179818393940992,"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."}}