{"id":"W2411106140","doi":"10.5539/elt.v9n8p11","title":"Effects of reading Strategies and Depth of Vocabulary Knowledge on Turkish EFL Learners’ Text Inferencing Skills","year":2016,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Vocabulary; Psychology; Reading (process); Metacognition; Test (biology); Vocabulary development; Mathematics education; Reading comprehension; Affect (linguistics); Foreign language; Association (psychology); Teaching method; Linguistics; Cognition; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000693774,0.0002111094,0.0003607089,0.0002780051,0.00008348774,0.00004006478,0.0001719966,0.0001542424,0.001362543],"category_scores_gemma":[0.00132699,0.0001583016,0.00008691585,0.000108176,0.00009056808,0.0002739342,0.00006680496,0.0004499779,0.00002710014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003348919,"about_ca_system_score_gemma":0.00002917549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482854,"about_ca_topic_score_gemma":0.00001554901,"domain_scores_codex":[0.9982892,0.000585298,0.0003317282,0.0003412913,0.0001452351,0.0003072485],"domain_scores_gemma":[0.9976633,0.001668278,0.0002186761,0.0003246506,0.00003795188,0.00008712873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006090221,0.0002326876,0.002563678,0.0002261711,0.0001406196,0.0001230754,0.6400016,0.00000720373,0.07536314,0.01296973,0.0001953755,0.2681158],"study_design_scores_gemma":[0.006459675,0.001121019,0.06572179,0.003406227,0.0001913157,0.00005895666,0.8468205,0.00003010793,0.07335331,0.0002058867,0.001591192,0.001039954],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918337,0.004057706,0.0006532248,0.00001001457,0.0003537802,0.000151266,0.000003648272,0.0001343689,0.076299],"genre_scores_gemma":[0.9980675,0.000008473474,0.0002619359,0.0001689947,0.0003235532,0.00001021819,0.000006999876,0.00004105822,0.001111288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2670759,"threshold_uncertainty_score":0.9995503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0068441617491304,"score_gpt":0.2880584687689192,"score_spread":0.2812143070197888,"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."}}