{"id":"W4319971251","doi":"10.3390/a16020097","title":"Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker","year":2023,"lang":"en","type":"article","venue":"Algorithms","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Closed captioning; Computer science; Natural language processing; Artificial intelligence; Task (project management); Natural language; Principle of maximum entropy; Image (mathematics); Perceptron; Artificial neural network; Speech recognition","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000460438,0.0001887949,0.0001664611,0.000272211,0.0003109202,0.0001747241,0.0008439913,0.00007429613,0.0001088299],"category_scores_gemma":[0.0001468855,0.0001832088,0.000105395,0.001750381,0.00004212089,0.0002146637,0.000210019,0.0004964037,0.002543857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005308305,"about_ca_system_score_gemma":0.00005877459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898521,"about_ca_topic_score_gemma":0.000005219488,"domain_scores_codex":[0.9980984,0.0001893535,0.0002375239,0.0005591497,0.0004510971,0.0004644962],"domain_scores_gemma":[0.9988167,0.0001660417,0.0001078404,0.0006623991,0.00009296894,0.000154005],"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":[0.000006228163,0.0003420383,0.03619916,0.0000337613,0.00006683283,0.0001116752,0.002695678,0.2594334,0.0002982124,0.002475566,0.009092323,0.6892451],"study_design_scores_gemma":[0.0003089934,0.0000378061,0.1371554,0.000005938003,0.000006870403,0.00000662231,0.00003858926,0.8574295,0.00005062293,0.0001687389,0.004606623,0.000184292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2385629,0.00007769756,0.7410672,0.01218618,0.0007469144,0.0005253482,0.000003536627,0.004344125,0.002486138],"genre_scores_gemma":[0.9763508,0.000004426039,0.02121149,0.0003303604,0.0002345879,0.00006102955,0.00003568924,0.00003281788,0.001738737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.737788,"threshold_uncertainty_score":0.9982328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798048141201878,"score_gpt":0.2741770904438704,"score_spread":0.2561966090318516,"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."}}