{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819772,0.0010031,0.0005045143,0.002772185,0.001749167,0.004681696,0.001005881,0.001216669,0.4701701],"category_scores_gemma":[0.003575126,0.0003503925,0.0004556237,0.003241682,0.0003527771,0.004954079,0.003170393,0.001102066,0.5069329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008242398,"about_ca_system_score_gemma":0.001418862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00333594,"about_ca_topic_score_gemma":0.007894131,"domain_scores_codex":[0.9990964,0.0001004525,0.00008134579,0.0001421343,0.000443021,0.0001366705],"domain_scores_gemma":[0.9985945,0.0001382661,0.0001250567,0.000232924,0.0005204667,0.0003887933],"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":[0.00003314765,0.00001613821,0.0003478981,0.0001803848,0.000003780715,0.00005944846,0.0001489129,0.00004339667,0.0004730466,0.007376302,0.9188462,0.0724712],"study_design_scores_gemma":[0.000004013968,0.000003662404,0.0003928967,0.00003447468,0.000001668852,0.00002906586,0.00005616066,0.00005747636,0.0001083893,0.0009594013,0.9983463,0.000006529614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001033546,0.0005286504,0.001856855,0.001788584,0.001169278,0.000244239,0.05341931,0.006638025,0.9333217],"genre_scores_gemma":[0.00751246,0.001110589,0.003737068,0.002027468,0.0008165516,0.0004894348,0.0806945,0.002886857,0.900725],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4701701,"threshold_uncertainty_score":0,"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."}}