{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03542301,0.00007335808,0.0002648195,0.0002463962,0.001701042,0.0001338672,0.001154244,0.0002207973,0.0007900011],"category_scores_gemma":[0.09264081,0.00004037182,0.0000537675,0.0001256797,0.0004898836,0.001216412,0.0003673237,0.004989344,0.00004948851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803872,"about_ca_system_score_gemma":0.0007985677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461593,"about_ca_topic_score_gemma":0.000565953,"domain_scores_codex":[0.9926227,0.003262656,0.001217641,0.0001048469,0.00233769,0.0004544156],"domain_scores_gemma":[0.9812496,0.01642365,0.000777776,0.000252329,0.0009623296,0.0003342873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002467656,0.0005549307,0.2697907,0.0004601271,0.00004754553,0.0003050547,0.3012846,1.108249e-7,0.0001068395,0.003100503,0.05947068,0.3624113],"study_design_scores_gemma":[0.001951362,0.00009566286,0.9366102,0.001039391,0.000002529865,0.00001221967,0.02280756,0.0003600358,0.00001446464,0.002484852,0.03457298,0.00004874661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437205,0.0000784225,0.00005365018,0.04920794,0.0005006195,0.0002596447,0.000007451045,0.000002527862,0.006169293],"genre_scores_gemma":[0.9970048,0.000298626,0.00005569671,0.00173321,0.00085611,0.00001092894,0.000001500713,0.000005195466,0.00003393836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6668195,"threshold_uncertainty_score":0.9995986,"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."}}