{"id":"W2128562230","doi":"10.1177/1461444812457328","title":"Live research: Twittering an election debate","year":2012,"lang":"en","type":"article","venue":"New Media & Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Corporation; Politics; Broadcasting (networking); Social media; Media studies; Sociology; Space (punctuation); Public relations; Political science; Internet privacy; Computer science; Law; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439131,0.0000915873,0.0001223515,0.00002731471,0.0008470244,0.00007534011,0.0002182353,0.0002321444,0.000386168],"category_scores_gemma":[0.0008569789,0.00009369197,0.0001096204,0.0004132909,0.000375316,0.0004627176,0.00004013106,0.0004316308,0.0002727149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003399871,"about_ca_system_score_gemma":0.0004785834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124741,"about_ca_topic_score_gemma":0.002689677,"domain_scores_codex":[0.997529,0.0004193323,0.0001315549,0.0001586101,0.0007637431,0.0009977723],"domain_scores_gemma":[0.9982401,0.0006440705,0.00004059797,0.0001442977,0.0001417789,0.0007891475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003408258,0.00004863352,0.01608417,0.000005652154,0.00001518475,5.915462e-7,0.9170985,1.303038e-7,0.001091945,0.003880754,0.05288485,0.008886128],"study_design_scores_gemma":[0.0002908651,0.00005197915,0.01110023,0.00001888978,0.00002339759,0.000001133205,0.4077358,0.0000143131,0.001342917,0.005640663,0.5735424,0.0002374436],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987602,0.0004008514,0.00004866634,0.002634064,0.002846225,0.000188173,0.00000216917,0.0001586025,0.006119282],"genre_scores_gemma":[0.9828914,0.0006488831,0.0009907885,0.0007766185,0.01379887,0.00001803116,0.000007571535,0.00002005267,0.0008477748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206575,"threshold_uncertainty_score":0.9953368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.217009940246725,"score_gpt":0.4324176961699667,"score_spread":0.2154077559232417,"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."}}