{"id":"W3142623229","doi":"10.1016/j.ijimpeng.2021.103864","title":"Survivability of embedded microelectronics in precision guided projectiles: Modeling and characterization","year":2021,"lang":"en","type":"article","venue":"International Journal of Impact Engineering","topic":"Electromagnetic Launch and Propulsion Technology","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Survivability; Projectile; Microelectronics; Microscale chemistry; Printed circuit board; Micromechanics; Multiphysics; Mechanical engineering; Materials science; Structural engineering; Computer science; Engineering; Aerospace engineering; Finite element method; Electrical engineering; Composite material; Nanotechnology; Composite number","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":[0.0001575554,0.000386989,0.0003019926,0.0002967884,0.0002341066,0.0004203041,0.0004954859,0.0007387893,0.0008299676],"category_scores_gemma":[0.0006139416,0.000190224,0.0003442148,0.0002715621,0.0005136213,0.0005031427,0.0002747152,0.0002715735,0.0001372546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542175,"about_ca_system_score_gemma":0.0004042635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092681,"about_ca_topic_score_gemma":0.001750378,"domain_scores_codex":[0.9999065,0.00001244848,0.000002367161,0.00001708202,0.00003701475,0.00002443832],"domain_scores_gemma":[0.9997365,0.0001204918,0.00005248597,0.00003444449,0.00004367637,0.00001256465],"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":[0.00006055232,0.00004224489,0.002326709,0.00003265967,0.00001599528,0.0001296915,0.00005415445,0.9769301,0.01428212,0.0009178624,0.0001275083,0.00508031],"study_design_scores_gemma":[0.000003448538,0.00006588915,0.001197286,0.000002981991,0.000006759795,0.00003830313,0.00001975772,0.9953647,0.002874809,0.0003015891,0.0001205337,0.000003914859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677764,0.0002941173,0.02683869,0.0001104182,0.00001310977,0.00002244197,0.00008685884,0.0001321615,0.004725831],"genre_scores_gemma":[0.9982121,0.00007774282,0.0008441415,0.00000724688,0.000001980575,0.000009906813,0.00002397651,0.000007309746,0.0008156415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003092681,"threshold_uncertainty_score":0.006149352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006402467090310411,"score_gpt":0.24623367713903,"score_spread":0.2398312100487196,"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."}}