{"id":"W2161761333","doi":"10.1149/1.3490180","title":"Mobile Micro- and Nano-Instruments: Small, Cheap and under Wireless Control","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microplasma; Miniaturization; Materials science; Nano-; Nanotechnology; Battery (electricity); Wireless; Chip; Ignition system; Optoelectronics; Scaling; Plasma; Electrical engineering; Computer science; Aerospace engineering; Engineering; Physics; Composite material; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00002748601,0.00008977145,0.00008600386,0.00003400002,0.0001198679,0.00004138824,0.00004254347,0.0000715338,0.00003458158],"category_scores_gemma":[0.000001345591,0.00009548067,0.00001924338,0.00005826499,0.00005154928,0.00005816248,0.000001726567,0.0001748811,0.00001368019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007765656,"about_ca_system_score_gemma":0.000007613102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001169323,"about_ca_topic_score_gemma":0.0001310183,"domain_scores_codex":[0.9996287,0.000003136299,0.00009472723,0.0001112857,0.00003330261,0.000128824],"domain_scores_gemma":[0.9997275,0.00005573247,0.000008748161,0.0001073085,0.00001366168,0.00008708875],"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":[0.00000288768,0.00008205044,0.000211225,0.00003173145,0.00008114747,6.176438e-7,0.0001811106,0.003632533,0.9776285,0.001403435,0.0001283211,0.01661642],"study_design_scores_gemma":[0.004746488,0.0001218095,0.01051415,0.00005910061,0.0003728392,0.0001650155,0.0005385252,0.1366858,0.7242453,0.002847007,0.1185345,0.001169513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671115,0.00006287872,0.03150675,0.0001667361,0.0001704589,0.0001822321,0.0001060964,0.0001096266,0.0005837016],"genre_scores_gemma":[0.997616,0.0003260417,0.001742742,0.00004276661,0.00002574784,0.0001434177,0.000004928553,0.00001812508,0.00008025234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2533833,"threshold_uncertainty_score":0.3893589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00415456962423735,"score_gpt":0.1834140396499227,"score_spread":0.1792594700256854,"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."}}