{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008241658,0.000237335,0.0003726922,0.000179034,0.00005859066,0.00005124662,0.0002237832,0.0001038124,5.383112e-7],"category_scores_gemma":[0.001962039,0.0002094679,0.00001638327,0.0009095084,0.0001027586,0.0003279029,0.0003841298,0.0002498789,8.596021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005029489,"about_ca_system_score_gemma":0.00004184295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002573805,"about_ca_topic_score_gemma":0.000008681268,"domain_scores_codex":[0.9983404,0.000018286,0.0005315674,0.0004644951,0.0002767445,0.0003684791],"domain_scores_gemma":[0.9969776,0.002339016,0.00005865619,0.0003219111,0.00007591626,0.0002268778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005119198,0.0002996246,0.7850617,0.002825816,0.0004808085,0.0001123471,0.002148001,0.00144841,0.06110257,0.000004480118,0.00005673429,0.1464083],"study_design_scores_gemma":[0.002877458,0.0007255892,0.7492532,0.001420956,0.0001217668,0.0000289871,0.001753401,0.2390153,0.002469623,0.000009021792,0.001370277,0.0009543844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886762,0.00004603515,0.009960951,0.0000066937,0.0001466421,0.0007508893,0.00004015819,0.0003678222,0.000004540843],"genre_scores_gemma":[0.8074697,0.000002270139,0.1922668,0.000002838204,0.0001055067,0.00008915863,0.00001827622,0.00004419999,0.00000134361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2375669,"threshold_uncertainty_score":0.8541852,"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."}}