{"id":"W4377966496","doi":"10.32920/23153441","title":"Listenapp: An AI-Based Mobile Application Platform for Auditory Learning","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Faculty of Communication and Design, Ryerson University","keywords":"Computer science; Newspaper; Meaning (existential); Multimedia; Field (mathematics); Class (philosophy); Word (group theory); Style (visual arts); Natural (archaeology); Natural language processing; Human–computer interaction; Speech recognition; Linguistics; Artificial intelligence; Psychology; Advertising","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000692172,0.0002349203,0.0002868164,0.0001865913,0.0001655025,0.0003393678,0.00124318,0.0003333976,0.000006125634],"category_scores_gemma":[0.00006060119,0.0002204265,0.0001714189,0.0001737194,0.00002463235,0.0002383337,0.0004643145,0.000379456,0.0003547907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180739,"about_ca_system_score_gemma":0.0003472433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004419958,"about_ca_topic_score_gemma":0.0001125924,"domain_scores_codex":[0.9981003,0.00004159104,0.0003463521,0.0008671443,0.0003067562,0.0003378784],"domain_scores_gemma":[0.9981017,0.0002082152,0.0002323328,0.001112461,0.0001909509,0.0001543064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001671589,0.0006154474,0.001270073,0.002970618,0.0002194463,0.0000290317,0.002541268,0.5374662,0.006049043,0.04780423,0.1329537,0.2679138],"study_design_scores_gemma":[0.0003828564,0.0002319613,0.0002363389,0.00005469723,0.00000996023,0.000001990464,0.000075314,0.9104109,0.001315355,0.007145794,0.07969852,0.0004363437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001054454,0.00003256609,0.9891263,0.0001603296,0.004593336,0.001608675,0.00002020476,0.001656388,0.001747751],"genre_scores_gemma":[0.876873,0.000007537962,0.09331263,0.0006812576,0.004530996,0.009912339,0.002030674,0.0001286142,0.01252291],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8958136,"threshold_uncertainty_score":0.8988733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170679573613693,"score_gpt":0.3041273478803065,"score_spread":0.2624205521441695,"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."}}