{"id":"W4244917485","doi":"10.1002/9781405186407.wbiect066","title":"Twitter","year":2012,"lang":"en","type":"other","venue":"The International Encyclopedia of Communication","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Social media; Computer science; Microblogging; World Wide Web; Service (business); Social media optimization; Class (philosophy); Internet privacy; Multimedia; Social network (sociolinguistics); Social network service; Business; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003050679,0.00008077136,0.0001127903,0.00007639762,0.00009467689,0.00001554625,0.001297594,0.0001593273,0.004692731],"category_scores_gemma":[0.0002598538,0.00006538825,0.00006198174,0.00007233711,0.0003891078,0.00004686045,0.0001144902,0.0001765122,0.0002215995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005857695,"about_ca_system_score_gemma":0.00012214,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008265827,"about_ca_topic_score_gemma":0.001243089,"domain_scores_codex":[0.9989959,0.0002138992,0.0001691749,0.00005744313,0.0004287519,0.0001348572],"domain_scores_gemma":[0.9987845,0.0003824462,0.0002861461,0.0004222215,0.00008141693,0.00004330839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002224061,0.00003223951,0.001180375,0.000003938687,0.00004979271,5.767965e-8,0.01109152,1.19849e-7,0.000001702807,0.1242836,0.8598896,0.003464826],"study_design_scores_gemma":[0.00005323787,0.000001707062,0.0001625114,0.00004913074,0.00002587634,1.542294e-7,0.001779426,7.60476e-7,0.000005440875,0.003718632,0.9941352,0.00006792211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001702105,0.001382036,0.0000159899,0.007307584,0.001548542,0.0001691392,0.00001673346,0.00005583513,0.9893339],"genre_scores_gemma":[0.02608802,0.01484188,0.0004034202,0.0003543847,0.002282601,0.00003235896,0.00006355137,0.0000826477,0.9558511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1342456,"threshold_uncertainty_score":0.9983382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343530292217724,"score_gpt":0.3415616240197852,"score_spread":0.308126321097608,"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."}}