{"id":"W4285034367","doi":"10.31219/osf.io/9vze5","title":"Steps towards understanding the phonological output buffer and its role in the production of numbers, morphemes, and function words","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Reading and Literacy Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Azrieli Foundation; Israel Science Foundation","keywords":"Phonological rule; Morpheme; Phonology; Linguistics; Psychology; Speech production; Cognitive psychology; Computer science; Natural language processing; Speech recognition","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619984,0.001442221,0.0007706048,0.001900065,0.0004115557,0.002923536,0.001552451,0.002538858,0.002314256],"category_scores_gemma":[0.001965552,0.0006400247,0.0006282994,0.0005245428,0.005863676,0.01263089,0.00194887,0.004207563,0.0008040948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000879763,"about_ca_system_score_gemma":0.001364716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918126,"about_ca_topic_score_gemma":0.002823213,"domain_scores_codex":[0.9995828,0.00008805551,0.00005422098,0.0001364291,0.00007366588,0.0000648864],"domain_scores_gemma":[0.9987323,0.0004515524,0.0002660934,0.0001939069,0.0001981333,0.0001580399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003299043,0.001731505,0.07774357,0.00378772,0.000324972,0.01730964,0.03802101,0.01021262,0.2945336,0.2628217,0.003879702,0.2863348],"study_design_scores_gemma":[0.0002096876,0.001852441,0.09736995,0.001261113,0.0002530049,0.01323333,0.01359941,0.03442098,0.06817818,0.7284131,0.04091898,0.000289763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174774,0.02577548,0.1125578,0.01364542,0.0005379104,0.0003804556,0.0003971019,0.0006914147,0.02853702],"genre_scores_gemma":[0.8759162,0.01322791,0.1003563,0.001611661,0.0003856487,0.0003115672,0.0002638807,0.0001868548,0.007740086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002923536,"threshold_uncertainty_score":0.008567393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664772795970396,"score_gpt":0.3053900264423807,"score_spread":0.2387422984826768,"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."}}