{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001512374,0.0004927099,0.0002308071,0.001520149,0.0002939613,0.0009653456,0.000251303,0.0002963442,0.002047594],"category_scores_gemma":[0.01546314,0.0002549391,0.000326735,0.00095783,0.000674222,0.0005911139,0.0007239315,0.0006243185,0.0003832746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002632973,"about_ca_system_score_gemma":0.0002990943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196206,"about_ca_topic_score_gemma":0.003417906,"domain_scores_codex":[0.9993248,0.0001726238,0.00009604528,0.000125656,0.0002319231,0.00004894648],"domain_scores_gemma":[0.9893985,0.005277631,0.00294448,0.0006057176,0.001392939,0.0003807269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009755205,0.00005893787,0.9825101,0.00003139066,0.00004308525,0.0001035035,0.001632887,0.0002579048,0.001816102,0.0001616376,0.00006861177,0.01321819],"study_design_scores_gemma":[0.000005406663,0.0001129859,0.9944534,0.00003389486,0.00002647255,0.0002971582,0.001263221,0.001728736,0.00130366,0.00039764,0.0003662515,0.0000112161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986007,0.00005312436,0.0003048946,0.00001867056,0.000003287981,0.000008142232,0.00006802515,0.000008387286,0.0009347499],"genre_scores_gemma":[0.9995202,0.00002992866,0.0003216796,0.000003723565,0.000002271941,0.000007114783,0.00004228901,0.000001998292,0.00007075461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196206,"threshold_uncertainty_score":0.007998288,"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."}}