{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006684838,0.0001308813,0.0003714048,0.0006356107,0.00003666316,0.00005013633,0.0004888893,0.00007973697,0.003775825],"category_scores_gemma":[0.007198353,0.0001385103,0.0002450484,0.0005377624,0.00003450335,0.00004811684,0.00005421659,0.0003613908,0.00000350118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638674,"about_ca_system_score_gemma":0.0001117092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389815,"about_ca_topic_score_gemma":0.0001610388,"domain_scores_codex":[0.9980754,0.0002462287,0.0005264696,0.0002035615,0.0007877953,0.0001605697],"domain_scores_gemma":[0.9930377,0.000246459,0.000596206,0.0001842725,0.005853929,0.00008140905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001167343,0.005366162,0.9301993,0.00001589711,0.008646598,0.005835395,0.03840217,0.004894102,0.0001701645,0.001090949,0.003318543,0.000893352],"study_design_scores_gemma":[0.016972,0.001511243,0.533666,0.0002417022,0.00318337,0.00001104931,0.3185326,0.001101958,0.000694661,0.00004169846,0.123371,0.0006727109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864544,0.0006142679,0.000528086,0.00001838674,0.003748222,0.00007751058,0.00005756913,0.00001024636,0.008491372],"genre_scores_gemma":[0.9983736,0.000007205349,0.0002035645,0.0003957791,0.0005798696,4.234941e-7,0.00006816245,0.00001105623,0.0003603101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965333,"threshold_uncertainty_score":0.9971349,"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."}}