{"id":"W2004797503","doi":"10.1017/s0266078414000376","title":"Back to basics: Cracking a nut in using English indefinite articles","year":2014,"lang":"en","type":"article","venue":"English Today","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Linguistics; Grammar; Computer science; Vocabulary; Lexicology; Context (archaeology); Psychology; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005780649,0.0003419412,0.0004207699,0.001607096,0.003756181,0.006723894,0.001065053,0.002657147,0.003792546],"category_scores_gemma":[0.0213553,0.0007763223,0.000414422,0.00084683,0.0181369,0.02957901,0.006159723,0.005355632,0.001201081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905471,"about_ca_system_score_gemma":0.001637148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006272645,"about_ca_topic_score_gemma":0.01147391,"domain_scores_codex":[0.9960349,0.001802577,0.0002457206,0.0005375828,0.001137109,0.000242097],"domain_scores_gemma":[0.9872984,0.007621839,0.001122034,0.00160847,0.001748849,0.000600423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001651129,0.0001468315,0.01779416,0.0003510235,0.00002226916,0.002603549,0.681443,0.00009078867,0.01195681,0.1640543,0.005260826,0.1161114],"study_design_scores_gemma":[0.00002886019,0.0003801289,0.03114875,0.00123213,0.00004268409,0.01045071,0.4650349,0.001080595,0.01194176,0.1588244,0.3196979,0.000137242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7136481,0.002351302,0.04269091,0.0262739,0.0003495417,0.0001495894,0.0001109497,0.0003057795,0.21412],"genre_scores_gemma":[0.9668142,0.001219133,0.01458979,0.003371489,0.00009415822,0.00004052326,0.00007654535,0.0002799346,0.01351427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006723894,"threshold_uncertainty_score":0.0305714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365581071593521,"score_gpt":0.2437696498978408,"score_spread":0.2072115427384887,"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."}}