{"id":"W2442103237","doi":"","title":"The Effects of Topical Knowledge on English Language Writing Performance: A Case of Iranian ESP Economics Students","year":2015,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Test (biology); Computer science; English language; Psychology; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176151,0.0002173317,0.0002493283,0.0008707427,0.000671963,0.001205075,0.0002168645,0.0003816903,0.001740917],"category_scores_gemma":[0.007291438,0.0001013709,0.000195554,0.0003848075,0.0006695195,0.0005852001,0.0005658738,0.0004111812,0.000341264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238675,"about_ca_system_score_gemma":0.0004457027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247181,"about_ca_topic_score_gemma":0.001988005,"domain_scores_codex":[0.9990872,0.0003184705,0.00009946075,0.00008418477,0.0002876579,0.0001230935],"domain_scores_gemma":[0.9932006,0.002743712,0.001906027,0.0002459341,0.00108876,0.0008150315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003213639,0.001181308,0.864311,0.0001393936,0.00005944044,0.005755403,0.05681698,0.000199717,0.008606605,0.000241238,0.0003191231,0.06204838],"study_design_scores_gemma":[0.00001432807,0.001305396,0.9198755,0.00006508203,0.00006795413,0.003764379,0.06918535,0.0004199474,0.003038553,0.0003767617,0.001854615,0.00003211285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993073,0.00004604207,0.00002924676,0.00002607022,0.000001351598,0.000001742583,0.00000279326,7.703958e-7,0.000584849],"genre_scores_gemma":[0.9995028,0.00006906852,0.00006544803,0.00001129119,0.000004055447,0.00000168194,0.000006206902,8.560481e-7,0.0003386057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001740917,"threshold_uncertainty_score":0.006220162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097793199547057,"score_gpt":0.3061232203269889,"score_spread":0.2751452883315184,"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."}}