{"id":"W2106735060","doi":"10.1017/s0305000910000322","title":"When cues collide: children's sensitivity to letter- and meaning-patterns in spelling words in English","year":2010,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Reading and Literacy Development","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Spelling; Orthography; Psychology; Spell; Linguistics; Orthographic projection; Set (abstract data type); Syllable; Cognitive psychology; Reading (process); Artificial intelligence; Computer science","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":[0.001502086,0.0004767755,0.0004836573,0.001364325,0.0003462378,0.00230157,0.0003923018,0.001116641,0.001496928],"category_scores_gemma":[0.01804748,0.001022175,0.0003064458,0.0004953085,0.001287153,0.00151046,0.001764577,0.001095361,0.0004794115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003457799,"about_ca_system_score_gemma":0.0003003588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003494466,"about_ca_topic_score_gemma":0.004299031,"domain_scores_codex":[0.9981824,0.0002874511,0.0001867113,0.0003690674,0.0006994051,0.0002749894],"domain_scores_gemma":[0.9896098,0.005041861,0.003454355,0.0005116629,0.0006931294,0.0006892686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001472968,0.0002934008,0.6094631,0.0004522258,0.0001694647,0.004796369,0.03522392,0.0008864721,0.3012355,0.0005461198,0.0006669062,0.04479356],"study_design_scores_gemma":[0.00003337309,0.0004488002,0.9650235,0.00007277719,0.0000908794,0.002312519,0.007325481,0.0006607359,0.02232933,0.0007687973,0.0008585531,0.00007518462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987811,0.0001394498,0.0001197823,0.00002636507,0.000004228933,0.000004595772,0.00003797309,0.00001583389,0.0008706398],"genre_scores_gemma":[0.9990163,0.0001256869,0.0003970953,0.00004027861,0.00000353292,0.000009180028,0.00008668443,0.00001797513,0.0003032499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003494466,"threshold_uncertainty_score":0.007943869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005313620361034358,"score_gpt":0.2616082146946787,"score_spread":0.2562945943336444,"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."}}