{"id":"W4385312870","doi":"10.2196/46653","title":"Development and Testing of a Data Capture Device for Use With Clinical Incentive Spirometers: Testing and Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical School, University of Michigan; National Institutes of Health; University of Michigan","keywords":"Spirometer; Computer science; Usability; Incentive program; Incentive; Volume (thermodynamics); Simulation; Real-time computing; Medicine; Human–computer interaction; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02261356,0.001382965,0.0007999433,0.001121617,0.0004351298,0.001218089,0.001942214,0.001443971,0.00192213],"category_scores_gemma":[0.04054098,0.0007229114,0.001064651,0.00033865,0.0009651507,0.001365722,0.001136096,0.0007204287,0.0008151733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006214799,"about_ca_system_score_gemma":0.0008931984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005336501,"about_ca_topic_score_gemma":0.0007790661,"domain_scores_codex":[0.9877679,0.006345448,0.001594695,0.001197029,0.002655756,0.0004391642],"domain_scores_gemma":[0.9583779,0.02710391,0.001456265,0.003104873,0.009067938,0.0008890979],"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":[0.006986204,0.03383133,0.1729157,0.007274542,0.0009437881,0.002676292,0.02284576,0.005909487,0.204074,0.001544831,0.008628244,0.5323697],"study_design_scores_gemma":[0.004292047,0.2810151,0.3527136,0.00262586,0.001905109,0.008632686,0.01100648,0.05566813,0.2325121,0.00105492,0.04778888,0.000784973],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9302601,0.0002751557,0.05742613,0.0003109166,0.0001522422,0.009106898,0.0002937639,0.0007740734,0.001400863],"genre_scores_gemma":[0.7694846,0.0003679027,0.2195854,0.0005992046,0.0001107275,0.007061637,0.0005950948,0.0001996412,0.001995754],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02261356,"threshold_uncertainty_score":0.1195933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294521719591835,"score_gpt":0.3351486763661964,"score_spread":0.2056965044070129,"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."}}