{"id":"W2396267779","doi":"10.1080/10888438.2016.1178267","title":"Exploring Differential Effects Across Two Decoding Treatments on Item-Level Transfer in Children With Significant Word Reading Difficulties: A New Approach for Testing Intervention Elements","year":2016,"lang":"en","type":"article","venue":"Scientific Studies of Reading","topic":"Reading and Literacy Development","field":"Psychology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development","keywords":"Reading (process); Computer science; Word (group theory); Intervention (counseling); Decoding methods; Reading comprehension; Phonology; Psychology; Natural language processing; Linguistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001118032,0.0004608349,0.000697919,0.0005011329,0.0005232276,0.0001467696,0.0003404815,0.00006143125,0.0000151361],"category_scores_gemma":[0.0005142858,0.0002997656,0.0001810654,0.0006879447,0.0002214819,0.0003547646,0.0001000485,0.0001364368,0.00001341214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127536,"about_ca_system_score_gemma":0.00003215552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390456,"about_ca_topic_score_gemma":0.00002443597,"domain_scores_codex":[0.9962885,0.0001523531,0.0008991709,0.001221065,0.0004683086,0.0009706032],"domain_scores_gemma":[0.9977997,0.001171571,0.0002809083,0.000453876,0.0001537533,0.0001402123],"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":[0.000959732,0.001005994,0.4128968,0.0003628849,0.002196668,0.00001061777,0.04869429,0.00005050845,0.03431156,0.0004205857,0.0003916898,0.4986987],"study_design_scores_gemma":[0.03755791,0.002002952,0.8272524,0.01718223,0.000611404,0.00003912377,0.02601944,0.0003726781,0.08650614,0.0002099561,0.0001480945,0.002097701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801957,0.0000758833,0.01639614,0.00002073656,0.001251654,0.001734431,0.00006112265,0.00008218378,0.0001821751],"genre_scores_gemma":[0.9859586,0.00001465076,0.00818758,0.000006404683,0.0001255137,0.001025852,0.0000438268,0.00005675478,0.004580813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.496601,"threshold_uncertainty_score":0.9999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866940674579769,"score_gpt":0.3732811369542408,"score_spread":0.1865870694962639,"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."}}