{"id":"W4244573290","doi":"10.32920/ryerson.14646981","title":"High speed wireless data acquisition system","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data acquisition; USB; Computer science; Sampling (signal processing); Computer hardware; Real-time computing; Wireless; Data collection; Transmitter; Reliability (semiconductor); Embedded system; Telecommunications; Software; Channel (broadcasting)","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":[0.001399139,0.0009400079,0.0009257469,0.002291023,0.0007718517,0.002341232,0.00150929,0.0009002819,0.04308886],"category_scores_gemma":[0.002429453,0.0003647034,0.0003038522,0.001985996,0.0003333808,0.00164815,0.001294258,0.0009433505,0.02787395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000545027,"about_ca_system_score_gemma":0.0008104491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009894016,"about_ca_topic_score_gemma":0.0003969807,"domain_scores_codex":[0.9966816,0.0004535049,0.0003721477,0.0007952916,0.001480986,0.0002163592],"domain_scores_gemma":[0.9971778,0.0003411868,0.0002257295,0.0003820477,0.001767081,0.0001061358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001137133,0.000503674,0.01099216,0.001563132,0.0001761268,0.0007511558,0.0007104984,0.00480495,0.118852,0.007771086,0.1395689,0.7131692],"study_design_scores_gemma":[0.0004280913,0.002220321,0.01502274,0.000510818,0.0003436938,0.004209894,0.0004372463,0.06282959,0.2190529,0.004051273,0.6905343,0.0003590237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05878877,0.002075509,0.7753211,0.001077948,0.001574749,0.002999229,0.007555997,0.06971601,0.08089076],"genre_scores_gemma":[0.5663192,0.002748139,0.2248433,0.002542214,0.001514116,0.004599696,0.01519575,0.001992977,0.1802446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04308886,"threshold_uncertainty_score":0.1441466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06206408476492063,"score_gpt":0.2632404530706485,"score_spread":0.2011763683057279,"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."}}