{"id":"W4386050386","doi":"10.5430/wjel.v13n7p508","title":"The Effectiveness of Scratch Coding Activities in English Language Learning","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scratch; Coding (social sciences); Mathematics education; Class (philosophy); Reading comprehension; Computational thinking; Computer science; Comprehension; English language; Psychology; Pedagogy; Reading (process); Linguistics; Artificial intelligence; Mathematics; Programming language","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":[0.001009224,0.0003528478,0.000335932,0.0006306091,0.0002784827,0.0005336712,0.000398354,0.0002888925,0.001181837],"category_scores_gemma":[0.008040764,0.0001143389,0.000246088,0.0002802153,0.0003301946,0.0004631825,0.0009742829,0.0003168254,0.0001714572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959953,"about_ca_system_score_gemma":0.0004530384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005059528,"about_ca_topic_score_gemma":0.00103702,"domain_scores_codex":[0.9990233,0.000464836,0.00007719159,0.0001291566,0.0002046272,0.0001008946],"domain_scores_gemma":[0.9944981,0.003307725,0.0006410312,0.0003066417,0.000399809,0.0008468255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004037117,0.01941976,0.06443698,0.001604372,0.0001712228,0.0004833702,0.009220137,0.001135647,0.06987752,0.0003787137,0.0007482269,0.8284868],"study_design_scores_gemma":[0.0009219318,0.1103499,0.7698171,0.0008491378,0.0009074004,0.001634299,0.01684395,0.007602188,0.07585318,0.001445094,0.01359096,0.0001848741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985056,0.000121762,0.0004847914,0.00001923463,0.000005714889,0.00004794977,0.000009328282,0.00003043156,0.0007752558],"genre_scores_gemma":[0.9954358,0.000179001,0.003590196,0.00002113108,0.000006683609,0.00006991725,0.00003733862,0.000006305173,0.0006536801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001181837,"threshold_uncertainty_score":0.005337358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173166919300197,"score_gpt":0.3167041011071772,"score_spread":0.3049724319141753,"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."}}