{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01825724,0.0004765815,0.0005064701,0.001180794,0.0008690846,0.001717005,0.000756053,0.001039838,0.002730355],"category_scores_gemma":[0.01916315,0.0002687008,0.001087699,0.0005889918,0.0009111601,0.001185987,0.0008521472,0.0005497678,0.000209561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332292,"about_ca_system_score_gemma":0.002896508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006559857,"about_ca_topic_score_gemma":0.001096991,"domain_scores_codex":[0.9878826,0.009904995,0.0006727896,0.0004220147,0.0008630662,0.0002545182],"domain_scores_gemma":[0.9781758,0.01778104,0.0008943496,0.0008498663,0.001952176,0.0003467747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004137077,0.01246741,0.02270014,0.03335559,0.001080564,0.0006449422,0.01759698,0.007136222,0.03230916,0.03649065,0.004498442,0.8275828],"study_design_scores_gemma":[0.0232251,0.2976867,0.09541645,0.03398206,0.01119075,0.002639803,0.04203997,0.0673567,0.1056528,0.06024832,0.2598323,0.000729058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6964883,0.01565885,0.2015761,0.004053885,0.0009224883,0.05815038,0.0008190474,0.0005544831,0.02177646],"genre_scores_gemma":[0.596011,0.006611314,0.3584765,0.001536924,0.0001975933,0.03444301,0.0002501523,0.00004522142,0.002428158],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01825724,"threshold_uncertainty_score":0.0965547,"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."}}