{"id":"W2766451097","doi":"10.5539/ijel.v8n1p200","title":"Problems in Sentence Construction at HSSC Level in Pakistan","year":2017,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentence; Certificate; School Certificate; Mathematics education; Test (biology); English as a foreign language; Set (abstract data type); Computer science; Foreign language; Psychology; Linguistics; Natural language processing","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":[0.001239523,0.0002486968,0.0002444042,0.001177638,0.003737925,0.001910316,0.0006462471,0.000661555,0.006847383],"category_scores_gemma":[0.005150663,0.0002843452,0.0002530951,0.0009502296,0.002036945,0.001281,0.00146641,0.001262701,0.0009964478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873608,"about_ca_system_score_gemma":0.003963574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853778,"about_ca_topic_score_gemma":0.022002,"domain_scores_codex":[0.9983333,0.0004074603,0.0001906367,0.0001444215,0.0005405829,0.0003836688],"domain_scores_gemma":[0.9954507,0.001103898,0.001138844,0.0002018431,0.001348454,0.0007563248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001499949,0.000494854,0.5009101,0.0004499454,0.00001690388,0.01351629,0.3549464,0.0003559676,0.01067403,0.007270686,0.008720485,0.1024943],"study_design_scores_gemma":[0.00002363939,0.0008115752,0.4831481,0.0002858001,0.00002020388,0.009085502,0.4574412,0.001148115,0.006014211,0.003362418,0.03857952,0.00007961162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939169,0.0001408877,0.0003652496,0.0005995758,0.00001622238,0.00002551825,0.00007954937,0.00002574323,0.004830392],"genre_scores_gemma":[0.997848,0.00009388916,0.0002733341,0.00007100243,0.000003934738,0.000009923773,0.00007520823,0.00000438617,0.001620315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853778,"threshold_uncertainty_score":0.03685975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09236161445744866,"score_gpt":0.4723646490918644,"score_spread":0.3800030346344158,"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."}}