{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766362,0.001515542,0.001021889,0.0009442466,0.0004334604,0.0009989514,0.001144555,0.001218281,0.002033191],"category_scores_gemma":[0.005113397,0.0003765216,0.001155929,0.001058668,0.000413622,0.001298804,0.001296433,0.001656865,0.001498292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979365,"about_ca_system_score_gemma":0.0005421948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004934995,"about_ca_topic_score_gemma":0.004815476,"domain_scores_codex":[0.9991047,0.0003469194,0.00004248045,0.0002649509,0.0001264089,0.0001145156],"domain_scores_gemma":[0.9981104,0.001028562,0.0001955745,0.0003153429,0.0002228152,0.0001272336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000980668,0.000867583,0.02197891,0.0005908072,0.0006004181,0.0003811712,0.0002974485,0.1875937,0.01494589,0.01058678,0.02561499,0.7355615],"study_design_scores_gemma":[0.0000133163,0.00006378932,0.003601731,0.00001546975,0.00003316227,0.00005967086,0.00003149118,0.9771116,0.001769914,0.01529778,0.00198269,0.00001936413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1273326,0.008042919,0.8524191,0.001989322,0.0005313559,0.000101254,0.001901641,0.003622085,0.004059704],"genre_scores_gemma":[0.8919137,0.001312413,0.0983457,0.0004276558,0.0003926617,0.0001440051,0.002509682,0.0001472993,0.004806967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004934995,"threshold_uncertainty_score":0.009812534,"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."}}