{"id":"W4411968588","doi":"10.2196/57523","title":"Health Care Content and Engagement in Chronic Illness Instagram Posts: Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Content (measure theory); Content analysis; User engagement; User-generated content; Psychology; Internet privacy; World Wide Web; Computer science; Sociology; Social media","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":[0.00322779,0.0003213992,0.0003489867,0.00606393,0.0008377807,0.001928579,0.0004597955,0.0003645802,0.003423841],"category_scores_gemma":[0.01864775,0.0001891768,0.0005958206,0.00648324,0.0009314633,0.001446475,0.002129833,0.0005650984,0.0006697323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718236,"about_ca_system_score_gemma":0.001192287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006802211,"about_ca_topic_score_gemma":0.008049741,"domain_scores_codex":[0.9979199,0.0007283977,0.0002129417,0.0003171488,0.0005558417,0.0002659148],"domain_scores_gemma":[0.9827827,0.01115009,0.002979576,0.0006075295,0.00213628,0.0003439577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008419517,0.0004802565,0.7414128,0.002431354,0.0002415238,0.0004485419,0.07547583,0.0008301753,0.009271744,0.002997782,0.009651474,0.1559166],"study_design_scores_gemma":[0.00002561507,0.000210085,0.9420903,0.000277291,0.0001133756,0.0001935285,0.03415471,0.006172956,0.003272368,0.001141128,0.01228278,0.00006585887],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811082,0.0001674985,0.003760054,0.0003013993,0.00002012829,0.001391515,0.009535789,0.00009256569,0.003622827],"genre_scores_gemma":[0.97017,0.0002100655,0.01481693,0.000127913,0.00006125149,0.004125395,0.008180229,0.00007648838,0.002231684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006802211,"threshold_uncertainty_score":0.01707035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3056439629220702,"score_gpt":0.5568894747737296,"score_spread":0.2512455118516594,"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."}}