{"id":"W3118747558","doi":"10.48550/arxiv.2101.02346","title":"Multitask Learning for Emotion and Personality Detection","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Personality; Computer science; Big Five personality traits; Artificial intelligence; Multi-task learning; Trait; Process (computing); Machine learning; Quality (philosophy); Cognitive psychology; Deep learning; Psychology; Task (project management); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000371124,0.0002595493,0.0003303892,0.0001350166,0.0002330362,0.00005517576,0.000181873,0.0005916205,0.0005054538],"category_scores_gemma":[0.0000541241,0.0003258958,0.0002377089,0.0001587063,0.0001486417,0.00008623365,0.0001636712,0.0007428585,0.00002322963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010438,"about_ca_system_score_gemma":0.00004065538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00071322,"about_ca_topic_score_gemma":0.0002837818,"domain_scores_codex":[0.9979863,0.0003534509,0.000168669,0.001122118,0.00004394249,0.0003255145],"domain_scores_gemma":[0.9990181,0.0001629258,0.0001882062,0.0003599835,0.000145048,0.000125709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00884579,0.005098271,0.3905366,0.004687325,0.009948432,0.002405011,0.1024196,0.07010873,0.008959419,0.1905806,0.004575794,0.2018344],"study_design_scores_gemma":[0.009215545,0.001037548,0.8298627,0.000336581,0.001476115,0.0001910515,0.03130859,0.0845018,0.0001883168,0.01559443,0.02349002,0.002797303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198603,0.0002059851,0.07557868,0.0001178698,0.001173311,0.0003213758,0.00004252491,0.000110083,0.002589863],"genre_scores_gemma":[0.9953958,0.00007619389,0.0001563289,0.0001581592,0.000215145,0.000004848609,0.0001233868,0.00002765713,0.003842422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4393261,"threshold_uncertainty_score":0.9999193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279314771006347,"score_gpt":0.2547260452925412,"score_spread":0.1267945681919064,"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."}}