{"id":"W4294796097","doi":"10.1016/j.ohx.2022.e00358","title":"CAREDAQ: Data acquisition device for mechanical ventilation waveform monitoring","year":2022,"lang":"en","type":"article","venue":"HardwareX","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Monash University Malaysia; Monash University; Alberta Environment and Parks; University of Canterbury","keywords":"Waveform; Data acquisition; Scalability; Computer science; Mechanical ventilation; Real-time computing; Data collection; Reliability engineering; Medicine; Engineering; Database; Telecommunications; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004204763,0.0001005626,0.0001724175,0.00007310032,0.0002455409,0.00001799795,0.0001962585,0.00004725304,0.0005543416],"category_scores_gemma":[0.00003879124,0.0001014568,0.0000707914,0.0001175331,0.000006120427,0.000142972,0.0002438362,0.0001364868,0.00002329412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358725,"about_ca_system_score_gemma":0.0001069124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007548271,"about_ca_topic_score_gemma":0.000001322613,"domain_scores_codex":[0.9988694,0.00002094856,0.0002153378,0.0003243833,0.0003529123,0.0002170063],"domain_scores_gemma":[0.999164,0.00002311691,0.00007384684,0.0005659006,0.00007148947,0.0001016837],"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":[0.003833047,0.0008793607,0.01666929,0.0007698243,0.0004609307,0.0003681158,0.001449903,0.00006875894,0.6328194,0.005350042,0.0405554,0.2967759],"study_design_scores_gemma":[0.002505226,0.0009193481,0.005195242,0.00006296478,0.0003058902,0.00009982038,0.001365338,0.00364013,0.1367385,0.0006440608,0.8482362,0.0002872261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442074,0.0006599273,0.04261633,0.001046107,0.005288545,0.002860449,0.000664634,0.0004856533,0.002170932],"genre_scores_gemma":[0.9919332,0.000005714897,0.004495237,0.0003436151,0.0006614113,0.0001755079,0.00165276,0.0000319855,0.0007005666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8076808,"threshold_uncertainty_score":0.6069652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296145745199178,"score_gpt":0.3592454735444327,"score_spread":0.2296308990245149,"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."}}