{"id":"W1982210748","doi":"10.3758/s13421-010-0045-0","title":"Lexical and sublexical knowledge influences the encoding, storage, and articulation of nonwords","year":2010,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Reading and Literacy Development","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Trent University; Experimental Psychology Society; Nottingham Trent University","keywords":"Psychology; Syllable; Repetition (rhetorical device); Lexical item; Articulation (sociology); Linguistics; Encoding (memory); Speech recognition; Cognitive psychology; Computer science; Natural language processing","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":[0.0006915297,0.000304498,0.0003150975,0.000458088,0.0002271497,0.002330224,0.0004662877,0.0005608425,0.004478864],"category_scores_gemma":[0.009906249,0.000478328,0.0001802718,0.0002838306,0.0008037431,0.001844668,0.0007785833,0.0008059115,0.0008262694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003806981,"about_ca_system_score_gemma":0.0007604637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002525815,"about_ca_topic_score_gemma":0.003458225,"domain_scores_codex":[0.9993741,0.0001445667,0.00006444104,0.0001987981,0.0001296678,0.0000885533],"domain_scores_gemma":[0.988808,0.00720876,0.001954417,0.0006880431,0.0007664813,0.0005744349],"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":[0.005774823,0.001318921,0.1551373,0.0005640456,0.0002231723,0.002112143,0.007129813,0.001365173,0.6713662,0.00578509,0.001251231,0.1479722],"study_design_scores_gemma":[0.000269223,0.001700705,0.8124658,0.0001916717,0.0004499024,0.002413014,0.006049566,0.005901664,0.1461044,0.0205248,0.003801017,0.0001281333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967032,0.0001276612,0.0007058007,0.00005575779,0.00001400737,0.000005162645,0.00005693549,0.00001656107,0.002314883],"genre_scores_gemma":[0.9967411,0.0002132585,0.0009235985,0.00004561424,0.000007500458,0.00001006002,0.0001611115,0.00005136055,0.001846394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004478864,"threshold_uncertainty_score":0.0149833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518156468136221,"score_gpt":0.3269718640217426,"score_spread":0.3017902993403804,"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."}}