{"id":"W2945436349","doi":"10.1177/2167479519849114","title":"Examining IRA Bots in the NFL Anthem Protest: Political Agendas and Practices of Digital Gatekeeping","year":2019,"lang":"en","type":"article","venue":"Communication & Sport","topic":"Social Media and Politics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Gatekeeping; Politics; Social media; Political science; Media studies; Ideology; Sociology; Agency (philosophy); Public relations; Law; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.000751258,0.00005239162,0.0001168192,0.00003449803,0.000151638,0.00007115689,0.0003769495,0.00006328143,0.00002225553],"category_scores_gemma":[0.0008405364,0.00004531443,0.0000180676,0.0001627497,0.0003455596,0.000315973,0.00006923664,0.0001654086,0.00001139413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149836,"about_ca_system_score_gemma":0.0001311673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407666,"about_ca_topic_score_gemma":0.0001730841,"domain_scores_codex":[0.9991467,0.000145177,0.0001974304,0.00008607294,0.0002209989,0.0002036199],"domain_scores_gemma":[0.9985222,0.0007994224,0.0002270502,0.0003417613,0.00005565527,0.00005393708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003942766,0.00005371884,0.8007372,0.00001344906,0.000003910955,9.48527e-7,0.03910207,1.451994e-7,0.00003195973,0.1583501,0.00001587394,0.001686629],"study_design_scores_gemma":[0.0004049223,0.0000696119,0.6139233,0.0001527945,0.00002508921,0.000005186208,0.3169652,0.00003547052,0.0001492217,0.0142025,0.05386402,0.0002027305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210337,0.0001790277,0.000001229742,0.002999675,0.00004382249,0.0003001713,0.000002273833,0.00001488871,0.07542514],"genre_scores_gemma":[0.9993874,0.0001121952,0.0001367868,0.0001689988,0.00005820547,0.00001564354,0.000008784468,0.000005261807,0.0001066808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2778631,"threshold_uncertainty_score":0.212798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289939480476768,"score_gpt":0.40472272837929,"score_spread":0.2757287803316132,"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."}}