{"id":"W4313066958","doi":"10.32672/jnkti.v5i3.4382","title":"Analisis Sentimen Akun Twitter Apex Legends Menggunakan VADER","year":2022,"lang":"id","type":"article","venue":"Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Mathematics; Art; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003448646,0.001583822,0.001658096,0.001780703,0.002931812,0.001274093,0.005799,0.0006989496,0.001280007],"category_scores_gemma":[0.0003671961,0.001539539,0.001189886,0.003160216,0.0005807248,0.002321375,0.006835561,0.004716114,0.001219882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145925,"about_ca_system_score_gemma":0.001600878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000985362,"about_ca_topic_score_gemma":0.000008606867,"domain_scores_codex":[0.9853678,0.001686338,0.003085487,0.002075046,0.004917807,0.002867485],"domain_scores_gemma":[0.9928392,0.0009799044,0.002232646,0.002131838,0.0006496846,0.001166792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001350849,0.004612133,0.1197363,0.001093634,0.005019652,0.006991418,0.04406846,0.0958048,0.005171879,0.02229873,0.5038033,0.1900488],"study_design_scores_gemma":[0.00395929,0.001979437,0.04795289,0.0002236394,0.0001971414,0.004678106,0.003649772,0.144505,0.001338294,0.0001283483,0.7887886,0.002599403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195859,0.007314151,0.04050641,0.03161643,0.04055031,0.005810736,0.0005469693,0.00399196,0.05007717],"genre_scores_gemma":[0.9669304,0.0001061351,0.006576356,0.005418049,0.001992965,0.0002571497,0.0004733356,0.0001998152,0.01804576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2849853,"threshold_uncertainty_score":0.9997627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711876023025445,"score_gpt":0.2625926907795068,"score_spread":0.2354739305492524,"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."}}