{"id":"W2766075374","doi":"10.2196/ijmr.8612","title":"Alzheimer’s Disease in Social Media: Content Analysis of YouTube Videos","year":2017,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Content analysis; Content (measure theory); Internet privacy; Advertising; Computer science; World Wide Web; Sociology; Business; Social science; Mathematics","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":[0.001085031,0.0002422434,0.0002540307,0.00737699,0.0005216333,0.0009688059,0.0002324456,0.0002668033,0.001028866],"category_scores_gemma":[0.00652803,0.00007935788,0.0003176223,0.005508441,0.0002563476,0.001048669,0.0008392211,0.0002334366,0.00030305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208308,"about_ca_system_score_gemma":0.0005041439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578818,"about_ca_topic_score_gemma":0.02658742,"domain_scores_codex":[0.9992442,0.0002346801,0.0001126316,0.0001033619,0.0002078996,0.00009724859],"domain_scores_gemma":[0.9960842,0.00182745,0.0009274864,0.0001024747,0.0008994836,0.0001588867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005616135,0.0002251063,0.7734145,0.002175341,0.0002274128,0.001625312,0.02085475,0.000669342,0.005324376,0.0008952699,0.01880455,0.1752224],"study_design_scores_gemma":[0.00001299697,0.0001063662,0.9556056,0.0004907321,0.00009595742,0.0007438988,0.0217909,0.005945393,0.001258286,0.0003944695,0.01351293,0.00004252148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804257,0.001218798,0.001117296,0.0003383155,0.00004941459,0.0004560554,0.01298233,0.00005095926,0.003361089],"genre_scores_gemma":[0.973375,0.001370699,0.005420494,0.0001094021,0.00009506217,0.0006257372,0.01734243,0.00003123645,0.001630084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578818,"threshold_uncertainty_score":0.03139251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4484871767029702,"score_gpt":0.6432851913688059,"score_spread":0.1947980146658357,"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."}}