{"id":"W2965054774","doi":"10.3390/languages4030061","title":"Exploring Learning Context Effects and Grapho(-Phonic)-Phonological Priming in Trilinguals","year":2019,"lang":"en","type":"article","venue":"Languages","topic":"Reading and Literacy Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lexicon; Linguistics; Computer science; Psychology; Language acquisition; Lexical decision task; Scope (computer science); Priming (agriculture); Natural language processing; Cognition; Mathematics education","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":[0.0003339465,0.0001339084,0.0002537689,0.0001642379,0.00003932647,0.00003342945,0.00008380332,0.0000774965,0.000200262],"category_scores_gemma":[0.0001353255,0.0001127305,0.00003505038,0.0001378084,0.00002471992,0.00009016841,0.00004831906,0.0002918279,0.0002143524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436169,"about_ca_system_score_gemma":0.000008522437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002388059,"about_ca_topic_score_gemma":0.0000138079,"domain_scores_codex":[0.9989209,0.0001605708,0.0001985585,0.0003271902,0.00008539691,0.0003074197],"domain_scores_gemma":[0.9992324,0.0004974385,0.0000560675,0.0001537671,0.00001047302,0.00004982692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001174044,0.00008479544,0.5591704,0.0001319922,0.00006946065,0.0003873124,0.1077109,0.00001083191,0.008350241,0.002995098,0.00005605929,0.3209155],"study_design_scores_gemma":[0.002220836,0.000240499,0.952799,0.0003699645,0.00001175592,0.00006425857,0.02792572,0.00002633373,0.006101462,0.00007918639,0.009775707,0.000385305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887512,0.003154068,0.00001003078,0.00004626182,0.0004540329,0.000206111,4.028573e-7,0.00009947443,0.007278386],"genre_scores_gemma":[0.9964867,0.00007928941,0.0002632871,0.0001500954,0.00004949245,0.00005570453,0.000004457033,0.00001616836,0.002894792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3936286,"threshold_uncertainty_score":0.4597015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04295641131464564,"score_gpt":0.3138508124165411,"score_spread":0.2708944011018954,"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."}}