{"id":"W4225515422","doi":"10.2196/35244","title":"Understanding Online and Offline Social Networks in Illness Management of Older Patients With Asthma and Chronic Obstructive Pulmonary Disease: Mixed Methods Study Using Quantitative Social Network Assessment and Qualitative Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Programme Grants for Applied Research; National Institute for Health and Care Research; Barts Charity; Queen Mary University of London","keywords":"Thematic analysis; Social network (sociolinguistics); Social support; Self-management; Social network analysis; Psychological intervention; Psychology; Medicine; Qualitative research; Social media; Gerontology; Nursing; Social psychology; World Wide Web; Computer science; Sociology","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":[0.01721195,0.0003536218,0.0007310072,0.002187401,0.002083951,0.001886439,0.0009371146,0.0007171763,0.001837846],"category_scores_gemma":[0.01791286,0.0004250021,0.0006677175,0.002042025,0.001179312,0.002176995,0.00273899,0.0007829798,0.0001695147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335943,"about_ca_system_score_gemma":0.003224809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004420993,"about_ca_topic_score_gemma":0.009148302,"domain_scores_codex":[0.9902534,0.007263391,0.0005909213,0.0005175193,0.0007670953,0.0006076574],"domain_scores_gemma":[0.9860169,0.009291524,0.001764024,0.0004276237,0.001867684,0.0006321701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005465015,0.00147266,0.1511391,0.002447139,0.0001871796,0.0008235904,0.7688559,0.0002138353,0.001883746,0.001157321,0.001174811,0.07009835],"study_design_scores_gemma":[0.0001076716,0.001885897,0.1091155,0.001266046,0.0001269197,0.0005128459,0.8771778,0.001038696,0.0009021952,0.0008297884,0.006961393,0.00007533916],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936778,0.0008167975,0.00194203,0.0003201891,0.00002218078,0.001636955,0.0003501535,0.000005359575,0.001228482],"genre_scores_gemma":[0.9886994,0.0009880851,0.004638988,0.0004291569,0.00002732818,0.00407305,0.0002507893,0.000009748213,0.0008834739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721195,"threshold_uncertainty_score":0.09102654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2816784481458451,"score_gpt":0.587262887319251,"score_spread":0.3055844391734059,"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."}}