{"id":"W2294510577","doi":"10.2196/jmir.5391","title":"Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds","year":2016,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"King Abdulaziz University","keywords":"Social media; Content analysis; Microblogging; Digital health; Digital content; Health care; Digital media; Content (measure theory); Internet privacy; Psychology; World Wide Web; Data science; Computer science; Sociology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08073395,0.0002925159,0.002167434,0.003587155,0.0006082568,0.0008343752,0.004349292,0.0005621885,0.00007437314],"category_scores_gemma":[0.04156645,0.000147196,0.0008407809,0.0108185,0.0009655974,0.000143027,0.0006892571,0.004146527,0.00003960075],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365438,"about_ca_system_score_gemma":0.005664023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004881023,"about_ca_topic_score_gemma":0.002643102,"domain_scores_codex":[0.9695843,0.01801581,0.002147228,0.0006585075,0.008258689,0.001335502],"domain_scores_gemma":[0.9674625,0.02638336,0.0006517437,0.0007076568,0.002881354,0.00191335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004062316,0.0002658664,0.0001077513,0.0009319594,0.001187476,0.00001009821,0.09744162,0.000002812327,6.264622e-8,0.004179072,0.00729374,0.8885389],"study_design_scores_gemma":[0.0002557457,0.0003039308,0.0002968305,0.001990471,0.0007073033,0.00000839531,0.07808384,0.0001802209,1.088518e-7,0.0002103943,0.9177758,0.0001869341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007791769,0.8587173,0.01140785,0.1192343,0.0005248803,0.007892081,0.00004819772,0.00001205099,0.001384179],"genre_scores_gemma":[0.03357016,0.9570428,0.0008691572,0.001003389,0.001756526,0.004869332,0.000039529,0.00004334585,0.0008057833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9104821,"threshold_uncertainty_score":0.9999729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.716371351550524,"score_gpt":0.643709941758358,"score_spread":0.07266140979216595,"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."}}