{"id":"W2496459513","doi":"10.1007/s10755-016-9375-6","title":"Institutional Uses of Twitter in U.S. Higher Education","year":2016,"lang":"en","type":"article","venue":"Innovative Higher Education","topic":"Social Media and Politics","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"Canada Research Chairs","keywords":"Higher education; Social media; Dissemination; Context (archaeology); Sample (material); Value (mathematics); Population; Information Dissemination; Public relations; Empirical research; Empirical evidence; Political science; Sociology; World Wide Web; Geography; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001617996,0.00008082409,0.0001104479,0.0002137502,0.00009598884,0.00001477119,0.0001284081,0.0001087887,0.001908661],"category_scores_gemma":[0.0001510896,0.0000657168,0.00002076323,0.001039173,0.0004163095,0.0003151301,0.00001336941,0.00006927493,0.00006876977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003825031,"about_ca_system_score_gemma":0.002861821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956024,"about_ca_topic_score_gemma":0.00006958318,"domain_scores_codex":[0.9990256,0.000136545,0.0002545919,0.0001444299,0.0002550737,0.0001836897],"domain_scores_gemma":[0.9988969,0.0001634207,0.0001431069,0.0001045367,0.0006425155,0.00004950823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000557671,0.0002495087,0.2282214,0.000007524563,0.000005779998,7.499449e-8,0.005147484,4.949207e-8,0.00147916,0.7475141,0.009444375,0.007924933],"study_design_scores_gemma":[0.0001175346,0.00001027015,0.5015517,0.00007841981,0.000002957544,7.547529e-8,0.001249923,6.752673e-9,0.0009108135,0.03276966,0.4632282,0.00008044363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857296,0.0001188002,0.000008785431,0.0261845,0.006768302,0.0001907894,0.000006005557,0.00002213015,0.08097114],"genre_scores_gemma":[0.9697942,0.0000171596,0.0002075331,0.001499339,0.00168138,0.00008533217,0.00001177136,0.000007205564,0.02669611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7147444,"threshold_uncertainty_score":0.9990037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09348087539861039,"score_gpt":0.3960736107377328,"score_spread":0.3025927353391224,"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."}}