{"id":"W7017031728","doi":"","title":"AAC don Ghaeilge: the Prototype Development of Speech-Generating Assistive Technology for Irish","year":2022,"lang":"en","type":"article","venue":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Irish; Assistive technology; Augmentative and alternative communication; Augmentative; Term (time); Development (topology); Systems design","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":["metaresearch","metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01806702,0.0004362136,0.0009349551,0.001927741,0.01020361,0.00007859996,0.005303544,0.000552567,0.0009813891],"category_scores_gemma":[0.01060914,0.0003696654,0.0001988802,0.005467917,0.0009308358,0.000307566,0.008923561,0.005431233,0.0000988304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788402,"about_ca_system_score_gemma":0.004972209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005493049,"about_ca_topic_score_gemma":0.002327932,"domain_scores_codex":[0.9894395,0.004218224,0.001949727,0.001083797,0.001658211,0.001650494],"domain_scores_gemma":[0.9861664,0.006339606,0.0008179704,0.002556833,0.003800484,0.0003187254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01610092,0.006887259,0.274946,0.002380829,0.001339222,0.00008277719,0.006223442,0.0003099657,0.003073339,0.08476808,0.2821942,0.321694],"study_design_scores_gemma":[0.004141228,0.001460832,0.06832131,0.0001435193,0.0000446247,0.00000724363,0.01548284,0.00087346,0.005195916,0.00143302,0.9022729,0.0006230618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117967,0.0002647282,0.004091759,0.04380757,0.0007520604,0.02717602,0.001438294,0.0006218982,0.01005096],"genre_scores_gemma":[0.9518079,0.00003639363,0.01320201,0.0006948785,0.0001963926,0.03016281,0.0001744088,0.0000728688,0.003652294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6200787,"threshold_uncertainty_score":0.9999319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3477051848514751,"score_gpt":0.5393269040762995,"score_spread":0.1916217192248243,"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."}}