{"id":"W7062521508","doi":"","title":"Toward Smart Classrooms: Automated Detection of Speech Analytics and Disfluency with Deep Learning","year":2020,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Convolutional neural network; Deep learning; Focus (optics); Set (abstract data type); Artificial neural network; Field (mathematics); Quality (philosophy); Deep neural networks; Speech corpus; Hidden Markov model","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":[0.0006490669,0.001121998,0.0004199685,0.0008549812,0.0002387328,0.0006072926,0.0009033061,0.0009258739,0.002669066],"category_scores_gemma":[0.001787571,0.0003126695,0.0004778821,0.0003269734,0.0002649515,0.001307182,0.001154395,0.001081813,0.002198558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354261,"about_ca_system_score_gemma":0.0006245461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090042,"about_ca_topic_score_gemma":0.007726408,"domain_scores_codex":[0.9995918,0.00007961044,0.00001880446,0.0001303064,0.0001042753,0.0000752751],"domain_scores_gemma":[0.9995622,0.000176918,0.00005313699,0.00005801192,0.00008907737,0.00006056721],"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":[0.0007024475,0.0007186654,0.01007304,0.0003224743,0.0001759765,0.0003742251,0.0003280042,0.03907067,0.07204115,0.001285408,0.0189288,0.8559792],"study_design_scores_gemma":[0.00004589975,0.000405907,0.008465184,0.00007956825,0.00004613145,0.0002063572,0.0002275931,0.9367327,0.04250431,0.004147755,0.00708893,0.00004961729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4129457,0.002424203,0.5362667,0.001089236,0.0003946217,0.0004159252,0.003744859,0.03395057,0.008768166],"genre_scores_gemma":[0.752704,0.0006734308,0.2324874,0.0005055099,0.00006968022,0.0002982284,0.005176076,0.0003689678,0.007716564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003090042,"threshold_uncertainty_score":0.008928895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004870140388584084,"score_gpt":0.1746545189857529,"score_spread":0.1697843785971688,"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."}}