{"id":"W4395112667","doi":"10.18280/ria.380222","title":"Supervised Machine Learning Entity Sentiment Analysis: Prediction of Support for 2024 Indonesian Presidential Candidates","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Sentiment analysis; Presidential system; Artificial intelligence; Computer science; Natural language processing; Machine learning; Political science; Linguistics; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203182,0.0001474364,0.0002359334,0.0004100013,0.000187845,0.0002646018,0.0005702896,0.00006113057,0.0002237761],"category_scores_gemma":[0.0000829882,0.0001465464,0.0002220667,0.001310099,0.000049702,0.0003485371,0.0001759494,0.0002149828,0.0001266093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003362884,"about_ca_system_score_gemma":0.00007461927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910234,"about_ca_topic_score_gemma":0.00004954007,"domain_scores_codex":[0.998396,0.00007209978,0.0005001025,0.0005706529,0.0002049795,0.0002561319],"domain_scores_gemma":[0.9989671,0.0001932341,0.0001065181,0.0005538494,0.00009704246,0.00008233015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001024086,0.001156362,0.06152843,0.00200269,0.003378332,0.00004778162,0.01963859,0.4781154,0.04532937,0.105656,0.0153194,0.2677251],"study_design_scores_gemma":[0.00003423548,0.0001276416,0.0003687519,0.00004826002,0.0002441353,0.000007452157,0.0001198111,0.9590429,0.02286077,0.0004372427,0.01659024,0.0001185719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01547884,0.0003744841,0.9819997,0.0004111547,0.000447657,0.0003034721,0.0001438118,0.0002532499,0.0005876587],"genre_scores_gemma":[0.9846249,0.00006014958,0.007470559,0.00001413642,0.00008162213,0.0001006228,0.0003192616,0.00001477373,0.007313997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9745291,"threshold_uncertainty_score":0.5975988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197993026861135,"score_gpt":0.2828063807510679,"score_spread":0.2608264504824566,"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."}}