{"id":"W2791272352","doi":"10.5539/ijel.v8n3p158","title":"Arab EFL Learners’ Identification of English Sentence Patterns","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentence; Transitive relation; Dative case; Linguistics; Object (grammar); Significant difference; Test (biology); Psychology; Mathematics; Mathematics education; Computer science; Natural language processing; Artificial intelligence; Statistics; Combinatorics; Biology","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":[0.0009543848,0.0004111853,0.000260079,0.0009215398,0.000382656,0.001485865,0.0002182577,0.0004470077,0.003633013],"category_scores_gemma":[0.007987738,0.0002144536,0.0001691668,0.0003277646,0.0003812585,0.001064194,0.0006240871,0.000511196,0.0008417427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531581,"about_ca_system_score_gemma":0.0002109725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368391,"about_ca_topic_score_gemma":0.001456502,"domain_scores_codex":[0.9996291,0.00007813285,0.00005766196,0.00005963595,0.0001257715,0.00004969359],"domain_scores_gemma":[0.9955937,0.00176934,0.001204365,0.0001810979,0.0009889925,0.0002624556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005081197,0.0005481355,0.7555336,0.0003201778,0.00007105585,0.002608812,0.09194978,0.0003921681,0.07319089,0.0004869253,0.0008203459,0.07357008],"study_design_scores_gemma":[0.00003874156,0.001299514,0.8524296,0.0001420258,0.00007760896,0.006557934,0.1158266,0.003732732,0.01327951,0.0009353142,0.00557619,0.0001042769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990156,0.00003803776,0.00009779666,0.0000154767,0.000002208759,0.000004729984,0.00001958122,0.000003821594,0.0008026403],"genre_scores_gemma":[0.9985834,0.0000881498,0.0003317354,0.00001639122,0.00000259413,0.00000830782,0.00007109096,0.000003585417,0.0008946494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003633013,"threshold_uncertainty_score":0.01215369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859418139520709,"score_gpt":0.2858821162057322,"score_spread":0.2572879348105251,"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."}}