{"id":"W2088180885","doi":"10.1109/hicss.2013.614","title":"Wired Academia: Why Social Science Scholars Are Using Social Media","year":2013,"lang":"en","type":"article","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Social media; Public relations; Sociology; Media studies; Social science; Engineering ethics; Political science; Computer science; World Wide Web; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01230931,0.0003454941,0.0004784767,0.005303279,0.01133916,0.02724904,0.001586276,0.004555047,0.01191361],"category_scores_gemma":[0.06784057,0.0005132665,0.0004303156,0.009254454,0.01747985,0.02249262,0.008396339,0.005876128,0.00236318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005677825,"about_ca_system_score_gemma":0.00765148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006415263,"about_ca_topic_score_gemma":0.01257586,"domain_scores_codex":[0.981689,0.008411332,0.0006786131,0.00135476,0.006368424,0.00149781],"domain_scores_gemma":[0.9342582,0.04234172,0.007079252,0.003744793,0.006084495,0.006491592],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009075327,0.0001978483,0.06871699,0.000706326,0.00008281546,0.001118512,0.5608547,0.0001380967,0.001743281,0.1333194,0.04637945,0.1866517],"study_design_scores_gemma":[0.00004938546,0.0001178785,0.03303781,0.000886078,0.00006224318,0.0007595047,0.5722847,0.0003061459,0.0008462066,0.05434783,0.3372024,0.0000997727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5244671,0.01350715,0.004341529,0.262999,0.002112275,0.0001199904,0.0001804125,0.0003454772,0.1919271],"genre_scores_gemma":[0.9660402,0.005209845,0.0009275558,0.01404738,0.0008324708,0.00006096516,0.00008649259,0.0001532486,0.01264187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9876907,"threshold_uncertainty_score":0.06509864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09246364337229192,"score_gpt":0.3751632327582043,"score_spread":0.2826995893859124,"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."}}