{"id":"W4313257688","doi":"10.5430/wjel.v12n8p471","title":"A Computational-Augmented Critical Discourse Analysis of Tweets on the Saudi General Entertainment Authority Activities","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prince Sattam bin Abdulaziz University","keywords":"Ideology; Computer science; Cluster analysis; Sentiment analysis; Presentation (obstetrics); Entertainment; Artificial intelligence; Data science; Sociology; Political science; Politics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162914,0.0004531311,0.0002302199,0.003553463,0.001183041,0.001791519,0.0005977901,0.0005016316,0.002722756],"category_scores_gemma":[0.007013399,0.0001389661,0.0003916193,0.002663056,0.001087353,0.00229825,0.001306571,0.0006381569,0.0005603496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440098,"about_ca_system_score_gemma":0.001451076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006640195,"about_ca_topic_score_gemma":0.01035432,"domain_scores_codex":[0.999116,0.0004325144,0.00005557259,0.0001773804,0.0001569191,0.00006160548],"domain_scores_gemma":[0.9947464,0.003902443,0.0003949747,0.0002309914,0.0006288101,0.00009624489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001484144,0.001153809,0.1455569,0.003691848,0.0001728048,0.004769203,0.2382521,0.01610767,0.04542918,0.06192565,0.01939235,0.4620644],"study_design_scores_gemma":[0.0001290268,0.0005049217,0.1897879,0.001178205,0.000230696,0.00119927,0.3015629,0.2714605,0.04665714,0.050354,0.1366629,0.0002725527],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393006,0.0004407359,0.04245263,0.001208249,0.0001059534,0.0006978374,0.00544502,0.0002056267,0.01014343],"genre_scores_gemma":[0.9277325,0.0002672003,0.06333082,0.0001440977,0.00006300477,0.0006123559,0.004547363,0.00004896154,0.003253643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006640195,"threshold_uncertainty_score":0.01320308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218464210174998,"score_gpt":0.3691581672534935,"score_spread":0.3473117462359937,"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."}}