{"id":"W4319302699","doi":"10.1007/978-3-031-22524-6_39","title":"Joint Strength Optimization of Single-Lap Al 5052-H36 Adhesively Bonded for Off-Road Vehicle Chassis Components","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Adhesive; Fillet (mechanics); Composite material; Lap joint; Joint (building); Curing (chemistry); Adhesive bonding; Structural engineering; Layer (electronics); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001545208,0.0005668447,0.0003484117,0.0004567872,0.0002498904,0.0004137841,0.0005685623,0.0004165052,0.004020692],"category_scores_gemma":[0.0001796684,0.0002458193,0.0003339368,0.0003152111,0.0001420567,0.0002556601,0.000244723,0.0001976468,0.0009686014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003773803,"about_ca_system_score_gemma":0.0003888914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775423,"about_ca_topic_score_gemma":0.008033416,"domain_scores_codex":[0.9998776,0.00000883911,0.000003104474,0.00002141613,0.00006165831,0.00002738851],"domain_scores_gemma":[0.9998859,0.00001287168,0.00002034093,0.000007801073,0.00006117812,0.00001192197],"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":[0.0003425229,0.0002468986,0.0009111086,0.0003147742,0.00006797406,0.0001689692,0.00007265466,0.06946377,0.8776942,0.0008689171,0.00157405,0.04827419],"study_design_scores_gemma":[0.00006295607,0.003245532,0.009354601,0.00005365531,0.0002496952,0.000249221,0.0002682892,0.2901027,0.6876312,0.0003792648,0.008349095,0.00005385021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959114,0.001497529,0.01649264,0.00005705242,0.0000605179,0.0000255016,0.000188145,0.0002813341,0.02228342],"genre_scores_gemma":[0.985038,0.0002757398,0.005838071,0.00001590052,0.000007348468,0.00001835468,0.0001319107,0.00007504399,0.008599567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004020692,"threshold_uncertainty_score":0.01345056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0496049157054868,"score_gpt":0.2350639481743451,"score_spread":0.1854590324688583,"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."}}