{"id":"W2591908855","doi":"10.1017/s0142716417000029","title":"Morphological awareness: Construct and predictive validity in Arabic","year":2017,"lang":"en","type":"article","venue":"Applied Psycholinguistics","topic":"Reading and Literacy Development","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Abu Dhabi Education Council","keywords":"Pseudoword; Psychology; Construct validity; Predictive validity; Reading (process); Sentence; Construct (python library); Incremental validity; Test validity; Variance (accounting); Validity; Abu dhabi; Developmental psychology; Linguistics; Psychometrics; Natural language processing; Cognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004245766,0.0002172736,0.0003135654,0.00009352408,0.0003042235,0.0001262566,0.0003587328,0.0002038086,0.0001785067],"category_scores_gemma":[0.0003304819,0.0001997414,0.00003135621,0.00005684344,0.0003907234,0.00002322846,0.00009035896,0.0003531798,0.0001169223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003429484,"about_ca_system_score_gemma":0.0000303387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007331489,"about_ca_topic_score_gemma":0.000006958785,"domain_scores_codex":[0.9984778,0.00005036408,0.0003603261,0.0005758628,0.0001544726,0.0003812295],"domain_scores_gemma":[0.9986622,0.0001792744,0.0002064061,0.0007634734,0.0000580555,0.0001305696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006886529,0.0005106932,0.836321,0.00004508534,0.0001257303,0.0007249023,0.008489114,0.00001532899,0.0001441957,0.1162366,0.005601883,0.03109677],"study_design_scores_gemma":[0.00179771,0.00006636714,0.9511232,0.00004379861,0.00002531711,0.0001035888,0.0002893325,0.0000749992,0.00003644529,0.02270642,0.0233872,0.0003455628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7481499,0.00007670076,0.000850809,0.00007088992,0.002011343,0.000259139,0.00004302617,0.00005549198,0.2484827],"genre_scores_gemma":[0.9966907,0.00003878606,0.002213968,0.0002252271,0.0003588022,0.00008348816,0.00002222493,0.00002087878,0.0003459214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2485408,"threshold_uncertainty_score":0.8145217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06539125951955696,"score_gpt":0.3677680089764649,"score_spread":0.302376749456908,"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."}}