{"id":"W2946092276","doi":"10.1037/xhp0000621","title":"Transposed letter priming effects and allographic variation in Arabic: Insights from lexical decision and the same–different task.","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Reading and Literacy Development","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Arab Emirates University; Medical Research Council; Federation for the Humanities and Social Sciences","keywords":"Lexical decision task; Priming (agriculture); Word recognition; Linguistics; Psychology; Inflection; Reading (process); Task (project management); Natural language processing; Computer science; Artificial intelligence; Cognition; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385811,0.0002142101,0.0004054293,0.0003142982,0.0001318131,0.00004665593,0.0001711805,0.0001751364,0.0003157413],"category_scores_gemma":[0.000006423154,0.0001390304,0.00008583964,0.00009475475,0.0002155626,0.0002885765,0.00002545822,0.0004833183,0.00002463021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006117298,"about_ca_system_score_gemma":0.000005930932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000292459,"about_ca_topic_score_gemma":0.000007729513,"domain_scores_codex":[0.9982972,0.0002926269,0.0006478711,0.0003351936,0.0002190001,0.0002081245],"domain_scores_gemma":[0.9991877,0.0002302229,0.0002666014,0.0002119056,0.00002897561,0.00007456317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003415773,0.0006682139,0.2132018,0.00002862787,0.000154833,0.00002172817,0.08602431,0.000008394907,0.6839103,0.0004932458,0.0004993936,0.01157343],"study_design_scores_gemma":[0.008392359,0.0006433603,0.9887503,0.0001862686,0.00002244788,0.00007936244,0.000487831,0.0001022554,0.0003500849,0.0003818516,0.0004421799,0.0001616416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966795,0.001063771,0.0001834789,0.0003362879,0.001070206,0.0003151168,6.652525e-7,0.000009881012,0.0003410519],"genre_scores_gemma":[0.9973599,0.000152495,0.0003593318,0.00181817,0.0002006404,0.00002081213,0.000006006367,0.00001639846,0.00006629391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7755486,"threshold_uncertainty_score":0.5669497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369583148304739,"score_gpt":0.310981887067196,"score_spread":0.2972860555841487,"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."}}