{"id":"W4224251381","doi":"10.5430/wjel.v12n4p2","title":"Engaging Literary Appreciation and Comprehension via a Big Book","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Utara Malaysia","keywords":"Syllabus; Comprehension; Exposition (narrative); Psychology; Perception; Value (mathematics); Plot (graphics); Reading comprehension; Mathematics education; Pedagogy; Reading (process); Literature; Art; Linguistics; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009045907,0.0000695503,0.0001324893,0.0003119933,0.0001424144,0.00006531899,0.0002879868,0.00001038178,0.00004787448],"category_scores_gemma":[0.0002704921,0.00006391064,0.0000512394,0.0003217568,0.00001315318,0.0003668831,0.0001803386,0.0003601803,5.175609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005207065,"about_ca_system_score_gemma":0.00007161086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003736443,"about_ca_topic_score_gemma":0.000002160937,"domain_scores_codex":[0.9989462,0.0002759102,0.0002390557,0.0001166975,0.0003043762,0.0001177774],"domain_scores_gemma":[0.9990095,0.0003669537,0.0002195201,0.0001533311,0.0001543755,0.0000963479],"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":[0.00002751893,0.0001693514,0.00158302,0.00002757337,0.00003499902,0.0001209303,0.1393792,0.00012499,0.00406088,0.003356096,0.006280636,0.8448348],"study_design_scores_gemma":[0.001268004,0.0002264702,0.005451086,0.0001095131,0.00003031802,0.0002394084,0.006111578,0.003093783,0.001372419,0.00350941,0.9782854,0.0003026249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831854,0.06189304,0.08344053,0.002746726,0.01449938,0.0003027549,0.000007995784,0.0001181495,0.005137388],"genre_scores_gemma":[0.8012692,0.0001139496,0.192987,0.00240423,0.0022327,0.00000956662,0.000004330667,0.00001478758,0.0009642039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9720048,"threshold_uncertainty_score":0.26062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345226645250992,"score_gpt":0.2627658206485737,"score_spread":0.2493135541960638,"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."}}