{"id":"W7126415882","doi":"10.21428/594757db.2eed2ef7","title":"The Use of Human Evaluators in Emotion Text-Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Affect (linguistics); Perception; Quality (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003673513,0.00003412121,0.00004422221,0.0001168845,0.00005981738,0.0002054073,0.0001307569,0.00001530307,0.00002319067],"category_scores_gemma":[0.00001409876,0.00002125613,0.00004430789,0.0004628226,0.00001156101,0.0002932432,0.00004492864,0.00004036436,0.00001751223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001808608,"about_ca_system_score_gemma":0.000008757773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007111555,"about_ca_topic_score_gemma":0.00008096193,"domain_scores_codex":[0.9994679,0.00004644968,0.0001485101,0.0001208311,0.0001498432,0.0000664639],"domain_scores_gemma":[0.9997113,0.00007853017,0.00002251305,0.0001577661,0.00001941703,0.00001043999],"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":[0.000002107916,0.00003987723,0.003745069,0.00001483618,0.00005415958,0.00000259401,0.001420773,0.001031422,0.02482819,0.1337572,0.00197349,0.8331303],"study_design_scores_gemma":[0.00005487036,0.00003900316,0.01062699,0.00002614128,0.000005237047,6.958145e-7,0.00006503535,0.9726763,0.01097706,0.001092758,0.004386102,0.00004979723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7645591,0.0002036377,0.2330678,0.0005466042,0.0005697443,0.00008932995,1.035104e-7,0.00009299878,0.0008707563],"genre_scores_gemma":[0.998499,0.00001144859,0.0006888501,0.00001427555,0.000019292,0.000001746023,3.455618e-7,0.000001788421,0.0007632847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9716449,"threshold_uncertainty_score":0.1980747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07583309902574012,"score_gpt":0.3218407213262127,"score_spread":0.2460076223004725,"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."}}