{"id":"W4416882507","doi":"10.37665/ppvoblq72363","title":"Mil/Aero MEMS: Benefits and Barriers","year":2002,"lang":"","type":"article","venue":"Pan Pacific Symposium","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Software deployment; Reliability (semiconductor); Key (lock); Work (physics); Risk management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001404669,0.0006840765,0.0006183821,0.0002754148,0.0003697505,0.0001497308,0.0003511486,0.0005609746,0.0004859529],"category_scores_gemma":[0.0001027379,0.0007291407,0.0001473006,0.0004799751,0.000384366,0.0003876858,0.0001817707,0.0006098119,0.000271684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346758,"about_ca_system_score_gemma":0.00001191444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001545061,"about_ca_topic_score_gemma":0.000008473775,"domain_scores_codex":[0.9972401,0.00001314347,0.000572404,0.0008056425,0.0003047983,0.001063941],"domain_scores_gemma":[0.9983826,0.0001308846,0.0001113433,0.0008824488,0.00005999061,0.0004327013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004656105,0.0001520907,0.001521616,0.0007704776,0.0006710784,0.0001385978,0.008287549,0.002897663,0.6958612,0.004404576,0.01799443,0.2672542],"study_design_scores_gemma":[0.004548079,0.00118288,0.001611983,0.001510161,0.000743879,0.0004450447,0.01962362,0.01507294,0.3963311,0.00241451,0.5505625,0.005953372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6896173,0.1791641,0.00051159,0.003624263,0.005282324,0.001345007,0.0003019182,0.003260138,0.1168934],"genre_scores_gemma":[0.9305972,0.06548579,0.0009560213,0.00003553218,0.0002389646,0.00006199937,0.000005043152,0.0001349967,0.002484483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.532568,"threshold_uncertainty_score":0.999516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228829050092025,"score_gpt":0.1960985447643907,"score_spread":0.1838102542634704,"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."}}