{"id":"W2159563225","doi":"10.2196/med20.2269","title":"How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed","year":2013,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microblogging; Social media; Affordance; Field (mathematics); Computer science; Data science; World Wide Web; Human–computer interaction","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"],"consensus_categories":[],"category_scores_codex":[0.004192057,0.00009452752,0.0002520571,0.0001865486,0.0001142497,0.00001475586,0.00038859,0.0002003032,0.0004930152],"category_scores_gemma":[0.01712502,0.0000586512,0.0000208794,0.001046501,0.0006094936,0.0001218318,0.00002291038,0.0004034324,0.00001533944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946925,"about_ca_system_score_gemma":0.0003917754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652797,"about_ca_topic_score_gemma":0.00932065,"domain_scores_codex":[0.9966679,0.001131645,0.0004272602,0.0002066139,0.001175012,0.0003915222],"domain_scores_gemma":[0.9964657,0.002836063,0.0001950794,0.000221849,0.0001353977,0.0001458464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009399658,0.0001189666,0.6393992,0.00003225105,0.000004620839,0.000001303538,0.3110759,1.250218e-8,0.00003687549,0.0002523264,0.0230323,0.02603689],"study_design_scores_gemma":[0.0005054157,0.00002421932,0.8621526,0.0001293878,0.000004780264,1.791818e-7,0.1250912,0.000007653504,0.000003067433,0.0005411852,0.01148908,0.0000512523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371804,0.0001127463,0.000002129051,0.3570571,0.001164244,0.001936777,2.318206e-7,0.000009266776,0.002537059],"genre_scores_gemma":[0.9878581,0.0001577509,0.00001770639,0.006508669,0.0007507714,0.004439487,0.000005572308,0.000007535725,0.0002544248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3506777,"threshold_uncertainty_score":0.9911541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124513973043948,"score_gpt":0.4281741515082613,"score_spread":0.2157227542038665,"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."}}