{"id":"W4360989199","doi":"10.18280/ria.370110","title":"Personality Classification Based on Textual Data using Indonesian Pre-Trained Language Model and Ensemble Majority Voting","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indonesian; Voting; Computer science; Natural language processing; Artificial intelligence; Personality; Linguistics; Psychology; Social psychology; Political science","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":[0.001132513,0.0001451344,0.0001449507,0.000148986,0.0003704973,0.0001924187,0.001000365,0.00006692258,0.000006510648],"category_scores_gemma":[0.0003045544,0.0001501385,0.00003070157,0.0007401486,0.00006962621,0.0003173881,0.0003770003,0.0002373954,0.0001027702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003365476,"about_ca_system_score_gemma":0.0000800876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001769548,"about_ca_topic_score_gemma":0.00003406251,"domain_scores_codex":[0.9983602,0.00009763204,0.0002782288,0.0007602027,0.0002103812,0.0002934221],"domain_scores_gemma":[0.9980806,0.0002810967,0.0001234838,0.001368436,0.00004791675,0.00009853615],"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":[0.00002545316,0.0002734223,0.002296396,0.0001375535,0.00001914815,0.00001550303,0.006672203,0.7104944,0.03362576,0.05840352,0.001222102,0.1868145],"study_design_scores_gemma":[0.0000385981,0.00002709225,0.001586179,0.00004695001,0.000008331629,0.00000629358,0.0005912391,0.9961415,0.0009939729,0.0002349638,0.0001619067,0.0001629905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1801064,0.00001542467,0.8173984,0.00124396,0.00004390256,0.000161487,0.00005705242,0.0003104745,0.0006628521],"genre_scores_gemma":[0.9671702,0.000004617143,0.03204393,0.0001268994,0.00005240771,0.00001475635,0.0002251201,0.00001348638,0.000348558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870638,"threshold_uncertainty_score":0.6122471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189216389207141,"score_gpt":0.3544067925815699,"score_spread":0.2354851536608559,"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."}}