{"id":"W4388477726","doi":"10.18280/ria.370512","title":"An Enhanced Emotion Classification Scheme for Twits Based on Deep Learning Approach","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheme (mathematics); Computer science; Classification scheme; Deep learning; Artificial intelligence; Psychology; Machine learning; Mathematics","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":[0.0004977413,0.0007362422,0.0006204844,0.0008674642,0.0005451893,0.001024841,0.001053625,0.0007600714,0.003555169],"category_scores_gemma":[0.00112336,0.0001907699,0.0007387752,0.0006063409,0.0002180819,0.001180354,0.0008693256,0.0009735011,0.00162769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008765065,"about_ca_system_score_gemma":0.0007616821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008936502,"about_ca_topic_score_gemma":0.00840784,"domain_scores_codex":[0.9996186,0.00004174746,0.00003816333,0.00009144278,0.0001040716,0.0001059917],"domain_scores_gemma":[0.9996091,0.00004749774,0.0000284548,0.0000285483,0.0002568044,0.00002961253],"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":[0.0008330775,0.0005092309,0.01018424,0.0001630712,0.000142202,0.0003142259,0.0002379674,0.07270427,0.04099096,0.004217688,0.008243123,0.8614599],"study_design_scores_gemma":[0.00001016061,0.0001071625,0.002144443,0.00001786882,0.0000381476,0.00005220796,0.000100151,0.9837886,0.0101244,0.001495387,0.002104685,0.00001678476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1854353,0.0007319011,0.7973378,0.0006695198,0.0002986831,0.0003813608,0.0009489297,0.003500507,0.01069606],"genre_scores_gemma":[0.8775278,0.0003330413,0.10502,0.0002338401,0.00008066357,0.000307486,0.00173398,0.00008070951,0.01468261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008936502,"threshold_uncertainty_score":0.01776898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574167974156036,"score_gpt":0.2903660871570828,"score_spread":0.2329492897414792,"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."}}