{"id":"W4388983571","doi":"10.23977/aetp.2023.071520","title":"Adaptation and Selection of High School English Mini-Drama Scripts through Task-Based Learning Framework","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Creative Drama in Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wenzhou University","keywords":"Drama; Scripting language; Adaptation (eye); Psychology; Literacy; Cognition; Selection (genetic algorithm); Task (project management); Pedagogy; Mathematics education; Computer science; Visual arts; Art; Engineering","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":[0.0007076235,0.0003384236,0.0002073253,0.0005766213,0.0004686259,0.001205769,0.001030961,0.0002759134,0.002264833],"category_scores_gemma":[0.002750033,0.0001339799,0.0003503021,0.0002490909,0.0004225721,0.000567982,0.001213102,0.0003767005,0.0005537386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004673704,"about_ca_system_score_gemma":0.0006880561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007993497,"about_ca_topic_score_gemma":0.001633522,"domain_scores_codex":[0.9993626,0.0003017672,0.00003448853,0.0001254938,0.00009297678,0.00008279358],"domain_scores_gemma":[0.999333,0.0002564839,0.00007346375,0.0001070709,0.0001078582,0.0001221152],"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":[0.0008684937,0.005096002,0.03255924,0.001180498,0.00008938243,0.0007694684,0.0288742,0.02593102,0.1305037,0.0179752,0.005070376,0.7510824],"study_design_scores_gemma":[0.0005037989,0.006325258,0.1806172,0.0006792444,0.0004453769,0.002615866,0.05609053,0.3951201,0.1650652,0.0282266,0.163839,0.0004718336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7967339,0.0001431115,0.1787873,0.0001723265,0.00003162666,0.001142977,0.0002037982,0.000851038,0.02193397],"genre_scores_gemma":[0.8716086,0.0001059958,0.1217431,0.00003510993,0.000007418534,0.0005478129,0.0003568591,0.00007581402,0.005519394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002264833,"threshold_uncertainty_score":0.007576585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531053188579584,"score_gpt":0.3325339325719486,"score_spread":0.3072234006861527,"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."}}