{"id":"W3161122534","doi":"10.1123/ijsc.2020-0287","title":"Sport in the Age of Trump: An Analysis of Donald Trump’s Tweets","year":2021,"lang":"en","type":"article","venue":"International Journal of Sport Communication","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Champion; Fandom; Symbol (formal); Power (physics); Media studies; Sociology of sport; Sociology; Advertising; Identity (music); Consciousness; Professional sport; Promotion (chess); Public relations; Political science; Social science; Psychology; Politics; Aesthetics; League; Law; Business; Art","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":[0.001256862,0.0003033483,0.0002941125,0.0034165,0.003683234,0.003205834,0.0006073609,0.001132276,0.002983204],"category_scores_gemma":[0.007139239,0.0002502846,0.0001769472,0.004126264,0.001949778,0.003525264,0.002746662,0.001375824,0.001101793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113441,"about_ca_system_score_gemma":0.0009923205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182621,"about_ca_topic_score_gemma":0.02800468,"domain_scores_codex":[0.9985558,0.0005209875,0.00006445524,0.0001710832,0.0004600401,0.0002276158],"domain_scores_gemma":[0.9940094,0.003943536,0.0005980475,0.0001310578,0.0009171308,0.0004008922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003632559,0.0001326708,0.08396184,0.0007759386,0.00004219506,0.005480017,0.7616132,0.0002275505,0.007681682,0.01368386,0.06048854,0.06554925],"study_design_scores_gemma":[0.000007530999,0.00004615347,0.05513185,0.0005355665,0.00002152349,0.0008756213,0.6396297,0.0008867535,0.001833907,0.001897457,0.2990617,0.00007230541],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471646,0.001497625,0.001836519,0.01269657,0.00072873,0.00009234488,0.00325535,0.00006386462,0.03266442],"genre_scores_gemma":[0.9724419,0.00208851,0.002351652,0.003360813,0.0005477603,0.0002260483,0.00219354,0.0002273271,0.01656254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182621,"threshold_uncertainty_score":0.02351475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577110561832937,"score_gpt":0.3615067755949058,"score_spread":0.3157356699765765,"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."}}