{"id":"W4388160596","doi":"10.5430/jct.v12n6p107","title":"The Development of an Interactive Science Literacy Model Based on Folk Stories for Chinese Children Using Dialogic Reading Techniques","year":2023,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Pendidikan Sultan Idris","keywords":"Dialogic; Psychology; Dialog box; Reading (process); Literacy; Protocol (science); Mathematics education; Value (mathematics); Medical education; Computer science; Pedagogy; Medicine; Linguistics; Alternative medicine","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":[0.004048222,0.00008942699,0.0001457213,0.0002839413,0.0006126915,0.0002032384,0.0004880382,0.00001935688,8.237696e-8],"category_scores_gemma":[0.001123529,0.00005121856,0.00004765158,0.0002009698,0.00005764579,0.001006562,0.00008561828,0.0001986646,4.461091e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006927218,"about_ca_system_score_gemma":0.0003784921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006738175,"about_ca_topic_score_gemma":0.000001208926,"domain_scores_codex":[0.9989474,0.00009443409,0.0003231879,0.0001412882,0.0003343331,0.0001593285],"domain_scores_gemma":[0.9985886,0.0005658314,0.00037268,0.0001338877,0.0002532556,0.00008573914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004824643,0.0003707289,0.01542037,0.0000404645,0.00003825586,0.000002779849,0.04615783,0.00302841,0.0183736,0.02065085,0.00002804047,0.8958404],"study_design_scores_gemma":[0.0002745733,0.000279361,0.0136211,0.0003783971,0.00001366005,0.00003285132,0.0007701253,0.9620761,0.005391556,0.01688289,0.0001146486,0.0001646969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6512919,0.00001736226,0.3481781,0.0001478228,0.0002438834,0.00007848068,6.709253e-7,0.00001285023,0.00002895331],"genre_scores_gemma":[0.54333,0.000002815906,0.4565548,0.00002140247,0.00008237112,0.000003305607,3.418066e-7,0.000002759423,0.000002293896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590477,"threshold_uncertainty_score":0.471239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882493651339863,"score_gpt":0.3938682853064484,"score_spread":0.3650433487930497,"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."}}