{"id":"W7128768242","doi":"10.5430/wjel.v16n3p255","title":"EFL Arab Learners’ Misselection of English Prepositions: Analysis of Interlingual Errors in Voice Messages at Chat Groups","year":2025,"lang":"","type":"article","venue":"World Journal of English Language","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arabic; Focus (optics); Agreement; Error analysis","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":[0.001960051,0.0006471355,0.0003954053,0.001888142,0.0006353554,0.001183467,0.0004759847,0.0007206763,0.001732503],"category_scores_gemma":[0.01151556,0.0002238247,0.0001862888,0.0006991219,0.0007551152,0.001430935,0.001469154,0.0004665216,0.001231303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598832,"about_ca_system_score_gemma":0.0003355858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011496,"about_ca_topic_score_gemma":0.001271526,"domain_scores_codex":[0.997842,0.0007739327,0.0002787191,0.0002805485,0.0006403858,0.000184381],"domain_scores_gemma":[0.9895518,0.005652897,0.001773069,0.0005270856,0.002251976,0.0002431312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001177751,0.0003711236,0.3681467,0.0008638531,0.00009378585,0.008494581,0.3404161,0.0004054745,0.08631271,0.0005695008,0.000849977,0.1922985],"study_design_scores_gemma":[0.00002871509,0.0007906927,0.5132466,0.0004101407,0.0001606497,0.01834837,0.3831272,0.0046247,0.06486849,0.001024352,0.01319931,0.0001707407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978909,0.0001279299,0.001069541,0.00003420704,0.000007046067,0.00001363782,0.00004504723,0.00002707835,0.0007846421],"genre_scores_gemma":[0.9971513,0.0001627388,0.00130943,0.00003209406,0.000007356736,0.00002792058,0.0001148553,0.00002222892,0.001171998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960051,"threshold_uncertainty_score":0.0103659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001344754977363,"score_gpt":0.275288393205152,"score_spread":0.2652749456553783,"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."}}