{"id":"W3121052653","doi":"10.5539/ijel.v11n2p23","title":"Analysis of Subject-Verb Agreement Errors in Third Person Singular Verb Forms by Spanish University Students: A Corpus-Based Study","year":2021,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Internacional de La Rioja","keywords":"Verb; Subject (documents); Linguistics; Curriculum; Error analysis; Agreement; Psychology; Corpus linguistics; Computer science; Third person; Natural language processing; Artificial intelligence; Mathematics education; Mathematics; Pedagogy; Philosophy; Library science","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":[0.002518571,0.000322513,0.000547275,0.004119099,0.0006627619,0.001147803,0.0006039419,0.0006479477,0.001508134],"category_scores_gemma":[0.01317272,0.0001585181,0.0002287669,0.002896234,0.0008896166,0.000726291,0.001378606,0.0003438644,0.0004379631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667969,"about_ca_system_score_gemma":0.0006608961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983494,"about_ca_topic_score_gemma":0.004382807,"domain_scores_codex":[0.9979894,0.0007246152,0.0002950606,0.000391889,0.0005004081,0.00009869918],"domain_scores_gemma":[0.9838252,0.01001546,0.002293046,0.001003469,0.002537133,0.0003257165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006263828,0.0007502118,0.7396735,0.001305185,0.0001376681,0.00352673,0.07912634,0.0006012088,0.03355935,0.000928574,0.002053811,0.1377111],"study_design_scores_gemma":[0.00004907155,0.0002591321,0.9258201,0.0001828931,0.00008350154,0.003403417,0.037987,0.002396311,0.01398492,0.0003847012,0.01538654,0.00006243596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99782,0.0001886707,0.0007379577,0.00001910853,0.00000663594,0.00004210101,0.0004349624,0.0000140058,0.0007365022],"genre_scores_gemma":[0.9935507,0.0002498817,0.003059987,0.00002491111,0.00001687695,0.000145261,0.002136616,0.00003958713,0.0007762354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004119099,"threshold_uncertainty_score":0.01331961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550812904700572,"score_gpt":0.3135639626630418,"score_spread":0.298055833616036,"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."}}