{"id":"W2549194644","doi":"10.1017/s0305000916000477","title":"Morphological awareness as a function of semantics, phonology, and orthography and as a predictor of reading comprehension in Chinese","year":2016,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Reading and Literacy Development","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Employment and Social Development Canada","funders":"","keywords":"Psychology; Phonology; Orthography; Linguistics; Morpheme; Reading comprehension; Vocabulary; Semantics (computer science); Comprehension; Reading (process); Cognitive psychology; 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":[0.0004120725,0.0003674221,0.0001709694,0.0007708784,0.0002060577,0.0004851517,0.0002155806,0.0002739062,0.001153741],"category_scores_gemma":[0.002460033,0.0002187854,0.0002185619,0.0003567143,0.0004207408,0.0003389617,0.0003049757,0.0002853021,0.0002218435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234742,"about_ca_system_score_gemma":0.0003594918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008516447,"about_ca_topic_score_gemma":0.01123226,"domain_scores_codex":[0.9997942,0.00003454339,0.00003036524,0.00005143544,0.00005068227,0.00003879109],"domain_scores_gemma":[0.9982715,0.0004973846,0.0007668415,0.0001056926,0.0001568893,0.0002016927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002835581,0.00007250986,0.9828098,0.00002025486,0.00003184468,0.0002799839,0.00161218,0.0001063411,0.009029487,0.00003424369,0.00003725535,0.00568256],"study_design_scores_gemma":[0.000001909973,0.00009255549,0.9989435,0.000001189604,0.000006527554,0.0001118376,0.0002552716,0.00009753441,0.0004343182,0.000027204,0.00002552296,0.000002675206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998436,0.00001796665,0.00001351071,0.00000384404,3.239129e-7,8.754553e-7,0.00001607673,0.000001176844,0.0001026421],"genre_scores_gemma":[0.9997527,0.00001868411,0.00003466468,0.000002454642,8.000247e-7,0.000001864674,0.00004489337,9.323855e-7,0.000142847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008516447,"threshold_uncertainty_score":0.0169338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00719843580835837,"score_gpt":0.2846656266448546,"score_spread":0.2774671908364962,"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."}}