{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452565,0.0008197337,0.0008228293,0.00118297,0.0005447291,0.0009241615,0.000757803,0.00054798,0.001192723],"category_scores_gemma":[0.002876828,0.0002242534,0.001033559,0.0007318,0.0002054542,0.001093026,0.0005476552,0.001000747,0.000965254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005499288,"about_ca_system_score_gemma":0.0005830664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004844492,"about_ca_topic_score_gemma":0.005387322,"domain_scores_codex":[0.9991063,0.0002620874,0.00008562548,0.0002620147,0.0001666067,0.0001172471],"domain_scores_gemma":[0.9988524,0.000354136,0.00007636731,0.0001241627,0.0005365653,0.00005643757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007503674,0.0006135325,0.0246165,0.0001124999,0.0003029933,0.0003318229,0.0004510795,0.1139978,0.01582005,0.001447257,0.00682497,0.834731],"study_design_scores_gemma":[0.000006650333,0.00007914993,0.002715209,0.00000762604,0.00003112242,0.00004804813,0.0000762283,0.9929237,0.002852932,0.0006260848,0.0006204932,0.00001270569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4761177,0.0008669851,0.5130936,0.0006442054,0.0004760989,0.0002440967,0.0008503147,0.002156974,0.005550071],"genre_scores_gemma":[0.9183581,0.000195281,0.07377275,0.0001152671,0.0001093144,0.0001177238,0.001311859,0.00005916293,0.005960541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004844492,"threshold_uncertainty_score":0.009632587,"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."}}