{"id":"W2791657439","doi":"10.5539/ijel.v8n3p65","title":"Language Competence of HSSC Level Students in Pakistan: Developing Writing Proficiency through Literature","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammar; Vocabulary; Mathematics education; Sentence; Competence (human resources); Test (biology); Psychology; Categorization; Language proficiency; Context (archaeology); Task (project management); English language; Computer science; Linguistics; Natural language processing; Engineering; Artificial intelligence","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006451327,0.0001126244,0.000209637,0.00024118,0.00003426735,0.00007970603,0.0006057994,0.00008602897,0.001220681],"category_scores_gemma":[0.01052111,0.0001059301,0.00007049402,0.0002281818,0.00008674565,0.00007903676,0.00007351273,0.0003972439,0.000008822975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008351048,"about_ca_system_score_gemma":0.0000758223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002635498,"about_ca_topic_score_gemma":0.000008759933,"domain_scores_codex":[0.9982945,0.0001029157,0.0007594657,0.0001425509,0.0005246792,0.0001759246],"domain_scores_gemma":[0.9896346,0.0002290797,0.0005536306,0.0001178497,0.009427059,0.00003780838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009730064,0.001255777,0.141366,0.0001395185,0.0007775862,0.004293862,0.6298918,0.0001321393,0.001034458,0.2060017,0.004843925,0.009290254],"study_design_scores_gemma":[0.0144066,0.001634623,0.4888828,0.007472182,0.0001428811,0.0003348095,0.2428445,0.0002020465,0.008626686,0.003743553,0.2301359,0.001573372],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096935,0.00357893,0.00312241,0.00003671475,0.01811023,0.0001068838,0.00005398826,0.00002413854,0.06527316],"genre_scores_gemma":[0.9843628,0.00001311029,0.007232326,0.0009892974,0.00722989,0.000001105192,0.00001242744,0.00001437127,0.0001446346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870472,"threshold_uncertainty_score":0.9996923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097662329584295,"score_gpt":0.4129242799741259,"score_spread":0.381947656678283,"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."}}