{"id":"W4393261658","doi":"10.5430/wjel.v14n3p440","title":"Research Progress and Trends of Pigai.org Automated Writing Evaluation System in English Writing: A Systematic Bibliometric Analysis (2011-2023)","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05391907,0.0007447493,0.003143903,0.06509208,0.001196284,0.0041048,0.001287635,0.0007138729,0.001749639],"category_scores_gemma":[0.1165479,0.0005751103,0.002549413,0.05853675,0.001192167,0.00465274,0.002202986,0.0006857969,0.0003803667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005514977,"about_ca_system_score_gemma":0.0263764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271795,"about_ca_topic_score_gemma":0.02382137,"domain_scores_codex":[0.956588,0.01304862,0.01516654,0.002121292,0.01222574,0.0008498539],"domain_scores_gemma":[0.8597789,0.0717535,0.02367828,0.003130839,0.04011463,0.001543837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008078203,0.0002197748,0.137483,0.267932,0.003454296,0.0003270158,0.009436373,0.0003986684,0.001284428,0.001307437,0.006566067,0.5707831],"study_design_scores_gemma":[0.0004748562,0.001777029,0.6250324,0.2183018,0.02965767,0.001085639,0.02098544,0.002135399,0.005314687,0.0009595918,0.09394179,0.0003337957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3313131,0.6192284,0.005532763,0.004123204,0.0008140091,0.005860981,0.01837349,0.0003507977,0.01440324],"genre_scores_gemma":[0.7210267,0.2420248,0.01747067,0.00114541,0.0003762983,0.007103452,0.009156598,0.00008811046,0.00160796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9349079,"threshold_uncertainty_score":0.2851548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05069969422200517,"score_gpt":0.4004173226481421,"score_spread":0.349717628426137,"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."}}