{"id":"W2156413826","doi":"10.1080/17470210802578385","title":"Short Article: Tracking the Transition from Sublexical to Lexical Processing: On the Creation of Orthographic and Phonological Lexical Representations","year":2009,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Reading and Literacy Development","field":"Psychology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reading aloud; Read aloud; Lexical access; Repetition (rhetorical device); Linguistics; Orthographic projection; Reading (process); Psychology; Phonology; Transition (genetics); Computer science; Lexicon; Speech recognition; Cognitive psychology; Natural language processing; Artificial intelligence; Cognition","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":[],"consensus_categories":[],"category_scores_codex":[0.0004819294,0.0001618958,0.0002785289,0.000144041,0.000160562,0.00005928388,0.0002420525,0.0001394201,0.0002326533],"category_scores_gemma":[0.0000224662,0.00009319641,0.0001294878,0.0002521641,0.0002653176,0.000124475,0.000005449489,0.0004010964,0.00001123724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002022434,"about_ca_system_score_gemma":0.00001522654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001039097,"about_ca_topic_score_gemma":0.000001344487,"domain_scores_codex":[0.9980965,0.0003889423,0.0007163222,0.0002906605,0.0002682672,0.0002393276],"domain_scores_gemma":[0.9991177,0.000249911,0.0001821708,0.0002444064,0.00008040863,0.0001254404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007025638,0.005272673,0.009912271,0.00000448504,0.0003431975,0.000177043,0.1533585,0.00002388954,0.306522,0.02866863,0.006338515,0.4823532],"study_design_scores_gemma":[0.001679927,0.008621473,0.9520697,0.000105501,0.00006622274,0.0006601977,0.01772677,0.00006558338,0.0104617,0.007610477,0.0006830895,0.0002493759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816548,0.0004715251,0.002933525,0.01232815,0.0003032204,0.0002114689,0.000003646652,0.00001453253,0.002079136],"genre_scores_gemma":[0.9969583,0.000006101629,0.0005289824,0.002258522,0.0001992874,0.00001705726,0.000004441115,0.00000909421,0.00001819182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9421574,"threshold_uncertainty_score":0.3800439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927965052256122,"score_gpt":0.3949598935108491,"score_spread":0.3456802429882879,"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."}}