{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010291,0.0006351446,0.0004021546,0.003379854,0.00127324,0.002946216,0.0004586873,0.0007446546,0.01374569],"category_scores_gemma":[0.006739216,0.0002181615,0.0004582642,0.003926695,0.0005553818,0.002698461,0.001284446,0.0008259475,0.006803145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007720091,"about_ca_system_score_gemma":0.0006614226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008018614,"about_ca_topic_score_gemma":0.0131772,"domain_scores_codex":[0.9988534,0.0001905157,0.0001193459,0.0002304464,0.0004348929,0.0001714381],"domain_scores_gemma":[0.9966149,0.00128503,0.0004239255,0.000356413,0.001121668,0.0001981689],"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":[0.00127817,0.0002638242,0.3022946,0.002216779,0.0002146101,0.002565713,0.01853565,0.002427209,0.02681366,0.01706912,0.1735293,0.4527913],"study_design_scores_gemma":[0.00004182693,0.0002965138,0.4954502,0.0005313653,0.0002391385,0.001619246,0.0442101,0.02186247,0.01917082,0.007707386,0.4086319,0.0002389288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8168232,0.002758984,0.02162251,0.004437578,0.001534082,0.0005987163,0.04189752,0.003635009,0.1066923],"genre_scores_gemma":[0.9029091,0.001447121,0.01640848,0.0006024662,0.0004465622,0.0004139288,0.02549727,0.0004478003,0.0518273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374569,"threshold_uncertainty_score":0.04598391,"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."}}