{"id":"W2918401381","doi":"10.2196/12489","title":"An mHealth Assistive System “MyLung” to Empower Patients with Chronic Obstructive Pulmonary Disease: Design Science Research","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; COPD; Medicine; Pulmonary disease; Self-management; Qualitative research; Physical therapy; Intervention (counseling); Psychology; Clinical psychology; Applied psychology; Nursing; Computer science; Psychological intervention; Psychiatry","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01483581,0.0003546427,0.0005417867,0.001921628,0.007479237,0.00009943214,0.001532796,0.0002411745,0.0003698911],"category_scores_gemma":[0.0004084464,0.0002730502,0.00004898915,0.005782397,0.001067488,0.001404079,0.0006478101,0.003468911,0.005956739],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009122795,"about_ca_system_score_gemma":0.01712165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004401813,"about_ca_topic_score_gemma":0.00006601559,"domain_scores_codex":[0.9835764,0.005358468,0.001022482,0.001378934,0.004479195,0.004184558],"domain_scores_gemma":[0.9842918,0.002471123,0.0003199143,0.001868645,0.007220752,0.003827757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01366432,0.003768607,0.7278014,0.01846443,0.00007635632,0.00003702138,0.03624565,0.0004426428,0.0005672362,0.1050725,0.02861965,0.06524019],"study_design_scores_gemma":[0.001303179,0.002513885,0.9628384,0.001156732,0.000005145747,0.000001237774,0.00890161,0.002357416,0.00002720106,0.0002843447,0.02030569,0.0003051923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290808,0.0002096672,0.002063136,0.001491038,0.0006875416,0.0435007,0.0004220517,0.0002949642,0.02225005],"genre_scores_gemma":[0.961273,0.00003120902,0.0006340311,0.0002029767,0.0002802517,0.03644446,0.0001176271,0.00007879853,0.0009377105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.235037,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0979332301904861,"score_gpt":0.5231566965981582,"score_spread":0.4252234664076721,"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."}}