{"id":"W4409039324","doi":"10.5334/joc.440","title":"Simon Fraser University Speech Error Database – English (SFUSED English): Methods and Design","year":2025,"lang":"en","type":"article","venue":"Journal of Cognition","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Database; Linguistics; Natural language processing; Speech recognition; Philosophy","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":[0.01463723,0.0009868047,0.001207089,0.002771236,0.001276089,0.001737694,0.002189561,0.0009571019,0.06217112],"category_scores_gemma":[0.02509823,0.0008213843,0.0004991257,0.002369226,0.001204924,0.001112108,0.002713776,0.001324462,0.01925699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837323,"about_ca_system_score_gemma":0.005009459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003610652,"about_ca_topic_score_gemma":0.005544995,"domain_scores_codex":[0.9935527,0.002212657,0.001418554,0.001203789,0.001367406,0.0002449689],"domain_scores_gemma":[0.9821954,0.004516767,0.001396051,0.003519361,0.007293969,0.001078491],"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":[0.01381214,0.003949666,0.01988345,0.006089086,0.0002633968,0.001043116,0.008176276,0.001873632,0.01057356,0.01537647,0.3637712,0.5551881],"study_design_scores_gemma":[0.004179793,0.003775788,0.05885785,0.00160709,0.0005058714,0.001026392,0.003974362,0.004026397,0.01111174,0.008545214,0.9019949,0.0003944383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.1149034,0.001891802,0.2609289,0.002395222,0.0016945,0.3723544,0.1946362,0.005637276,0.04555843],"genre_scores_gemma":[0.06795702,0.001367433,0.2091839,0.001781633,0.0004980393,0.6392279,0.05614667,0.002091326,0.02174609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06217112,"threshold_uncertainty_score":0.2079831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06226511342195126,"score_gpt":0.3957748362151308,"score_spread":0.3335097227931796,"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."}}