{"id":"W4319003107","doi":"10.17932/iau.ejnm.25480200.2023/ejnm_v7i1004","title":"A COMPARATIVE ANALYSIS OF THE SOCIAL MEDIA PERFORMANCES OF TELEVISION DRAMAS TELEVİZYON DRAMALARININ SOSYAL MEDYA PERFORMANSLARINA YÖNELİK KARŞILAŞTIRMALI BİR ANALİZ","year":2017,"lang":"tr","type":"article","venue":"Electronic Journal of New Media","topic":"Media Discourse and Social  Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rimouski","funders":"","keywords":"Social media; Sociology; Political science; Law","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":[0.0007810594,0.0002627734,0.0002267373,0.002504442,0.00098874,0.002280382,0.0002821091,0.0004030671,0.01063957],"category_scores_gemma":[0.004543478,0.0001327077,0.0002778595,0.001645928,0.0008100711,0.001112918,0.001278527,0.000402949,0.0009733982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008080247,"about_ca_system_score_gemma":0.0004517962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193696,"about_ca_topic_score_gemma":0.004246714,"domain_scores_codex":[0.9992406,0.0002439147,0.00004616924,0.00008555911,0.0002586583,0.0001250489],"domain_scores_gemma":[0.9975455,0.00136244,0.0003639739,0.0000955107,0.000427762,0.0002047472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002195955,0.0005174346,0.3243558,0.001729746,0.0004238298,0.001846267,0.2805026,0.000882278,0.02843358,0.01385353,0.005551617,0.3397075],"study_design_scores_gemma":[0.000009200713,0.0002641607,0.7698325,0.000216587,0.0001057475,0.000549914,0.2031732,0.0005673782,0.003477111,0.0005934677,0.02116836,0.00004244968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677651,0.0004613832,0.0004735531,0.0001205184,0.000022468,0.00002826425,0.0002249226,0.00001929003,0.03088452],"genre_scores_gemma":[0.9945333,0.0002653697,0.0002773582,0.00001233347,0.00001755572,0.00002803947,0.0001789424,0.00001179717,0.004675349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063957,"threshold_uncertainty_score":0.03559291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504204813774007,"score_gpt":0.3532622106830614,"score_spread":0.3028417293056607,"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."}}