{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002752522,0.001587033,0.001447511,0.002425198,0.0006441508,0.00139796,0.001788001,0.001381666,0.03755318],"category_scores_gemma":[0.006726327,0.0005397481,0.0005169474,0.001306207,0.0004460674,0.001183545,0.00136778,0.001307822,0.01045255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071473,"about_ca_system_score_gemma":0.001273126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009359198,"about_ca_topic_score_gemma":0.0006196293,"domain_scores_codex":[0.997574,0.00043394,0.0003438983,0.0006049232,0.0009095066,0.0001336926],"domain_scores_gemma":[0.9961638,0.001123178,0.0003101051,0.0003121503,0.001871702,0.0002191152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006586204,0.0007620083,0.01650558,0.003277029,0.0004220822,0.0009053327,0.0008778711,0.001833441,0.1944788,0.006020447,0.3690021,0.399329],"study_design_scores_gemma":[0.002519524,0.003356794,0.04328987,0.000944351,0.0004835339,0.004088276,0.0002451527,0.0745886,0.208458,0.004049992,0.6572204,0.0007555679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0690643,0.006000936,0.6350507,0.002094303,0.003645021,0.00686493,0.05758731,0.1883226,0.03136991],"genre_scores_gemma":[0.4411474,0.002793978,0.4258674,0.007425334,0.001587723,0.01533647,0.04957165,0.01184814,0.04442199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03755318,"threshold_uncertainty_score":0.1256279,"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."}}