{"id":"W2757989202","doi":"10.2196/ijmr.7879","title":"Social Media and Multiple Sclerosis in the Posttruth Age","year":2017,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Honesty; Internet privacy; The Internet; Confidentiality; Mythology; Social media; Disease; Safeguarding; Psychology; Order (exchange); Medicine; Public relations; Social psychology; Political science; Nursing; History; Business; Law; Computer science; Pathology","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":[0.0006988202,0.0002049817,0.0003007003,0.002488315,0.002439023,0.003934028,0.0002838452,0.001392665,0.007878585],"category_scores_gemma":[0.004527591,0.0001738733,0.0002614659,0.001104685,0.001870308,0.00310027,0.002050468,0.001574599,0.0008191687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008542801,"about_ca_system_score_gemma":0.0006725066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955834,"about_ca_topic_score_gemma":0.00465883,"domain_scores_codex":[0.9993173,0.0001992682,0.0000501327,0.00006675839,0.0001786157,0.000187912],"domain_scores_gemma":[0.9971346,0.001004854,0.0008974843,0.00008022123,0.0002715726,0.0006112402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004012226,0.001533854,0.4015222,0.0008830463,0.0001497667,0.01839474,0.2101369,0.00007663538,0.003799165,0.04578752,0.0222411,0.2950739],"study_design_scores_gemma":[0.00004234441,0.0006447565,0.673002,0.002244535,0.0001281349,0.02359939,0.1001387,0.0001813731,0.0006484723,0.02429044,0.1749718,0.0001080822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8695797,0.02894104,0.0002850257,0.02477817,0.0005951652,0.00005579652,0.000298813,0.00005592235,0.07541038],"genre_scores_gemma":[0.9796037,0.01142859,0.0002045969,0.001542551,0.0004949637,0.00002479912,0.00006535307,0.00001658836,0.006618681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007878585,"threshold_uncertainty_score":0.02635646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4308763493484432,"score_gpt":0.626184417757328,"score_spread":0.1953080684088849,"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."}}