{"id":"W2989642931","doi":"10.1109/avss.2019.8909839","title":"Personality Traits Classification on Twitter","year":2019,"lang":"en","type":"article","venue":"","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Big Five personality traits; Personality; Computer science; Support vector machine; Classifier (UML); Artificial intelligence; Machine learning; Natural language processing; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003488887,0.000512265,0.0003294098,0.00224372,0.000388304,0.0005029498,0.0001919112,0.0003019529,0.002148735],"category_scores_gemma":[0.001780484,0.0000906363,0.0003661647,0.001104513,0.0000736789,0.0004630163,0.0005091315,0.0002826618,0.002234424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499555,"about_ca_system_score_gemma":0.0001574373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003247543,"about_ca_topic_score_gemma":0.005005696,"domain_scores_codex":[0.999607,0.00008500009,0.00004236349,0.00007452246,0.0001251198,0.00006599163],"domain_scores_gemma":[0.9992161,0.0001885223,0.0001409273,0.00007618035,0.0002528208,0.000125513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001330642,0.0003809871,0.5542715,0.0003369187,0.000201254,0.001091995,0.0006647316,0.00294682,0.02629963,0.0005063849,0.04205019,0.3699188],"study_design_scores_gemma":[0.00002044596,0.0002512666,0.8990282,0.00005254882,0.00006502362,0.0008770759,0.001106204,0.07502479,0.007812429,0.0006419046,0.01505511,0.00006506842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637264,0.0005014116,0.008230462,0.0004130878,0.0002577646,0.0001493605,0.01920324,0.001060272,0.006458017],"genre_scores_gemma":[0.962027,0.0003610614,0.01096216,0.00007507679,0.0001783212,0.0001756641,0.01995921,0.00004183964,0.006219602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003247543,"threshold_uncertainty_score":0.007188261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068967699617973,"score_gpt":0.3760685973170279,"score_spread":0.2691718273552306,"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."}}