{"id":"W2925079440","doi":"10.5539/cis.v12n2p58","title":"Multi-Channel Digital Oscilloscope Implementation over Android Device","year":2019,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oscilloscope; Computer science; Waveform; Android (operating system); Data transmission; Wireless; Computer hardware; Digital storage oscilloscope; Signal processing; SIGNAL (programming language); Digital signal processing; Electronic engineering; Real-time computing; Embedded system; Electrical engineering; Telecommunications; Engineering; Detector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085115,0.0000647018,0.00005980069,0.00009782742,0.0000678676,0.0003733828,0.00009804828,0.00001654867,0.00002000215],"category_scores_gemma":[0.000001541361,0.00005782989,0.00001109501,0.0002306577,0.00003548271,0.00666892,0.00005035288,0.00003956983,0.00009300847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002223257,"about_ca_system_score_gemma":0.00001128942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003443591,"about_ca_topic_score_gemma":7.263279e-7,"domain_scores_codex":[0.9994841,0.000001560489,0.0001483775,0.0000702035,0.0001496049,0.0001461933],"domain_scores_gemma":[0.9997756,0.000008524446,0.00002411485,0.00008522269,0.0000499528,0.00005661078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001077451,0.00002666367,0.01516878,0.0002536196,0.00002478849,8.829779e-7,0.007395277,0.4482524,0.002503675,0.001731743,0.006152872,0.5184786],"study_design_scores_gemma":[0.000294347,0.00002274107,0.0415129,0.000009693089,7.576343e-7,0.000003270736,0.00008681096,0.9491615,0.0003031408,0.000005075912,0.008506541,0.00009321635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801066,0.00002654245,0.1169239,0.00001444811,0.0006116988,0.0001397628,0.000008295196,0.00008975768,0.002079019],"genre_scores_gemma":[0.9986736,0.00003040959,0.001049339,0.0001884618,0.0000333938,0.000001375753,0.00001241909,0.000002684643,0.000008295354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5183854,"threshold_uncertainty_score":0.4834806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008020706940973605,"score_gpt":0.2324465506434009,"score_spread":0.2244258437024273,"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."}}