{"id":"W4399050792","doi":"10.5539/ies.v17n3p62","title":"STEAM Learning Environment on Gamification System to Promote Innovators: A Bibliometric Analysis and Systematic Review","year":2024,"lang":"en","type":"article","venue":"International Education Studies","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Statistical analysis; Higher education; Psychology; Sociology; Pedagogy; Knowledge management; Computer science; Political science; Statistics; 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":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001418871,0.0001617713,0.0004220808,0.02174227,0.0003795703,0.0001581093,0.0002402466,0.00005414112,0.00003336314],"category_scores_gemma":[0.003715503,0.0001425892,0.00008101737,0.04057764,0.0001255839,0.0002044057,0.00008956733,0.000157356,0.0003207053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298712,"about_ca_system_score_gemma":0.0001911863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087029,"about_ca_topic_score_gemma":0.00002559006,"domain_scores_codex":[0.9979801,0.0001616644,0.0005443842,0.000454748,0.0006795147,0.0001796397],"domain_scores_gemma":[0.9982169,0.0003549232,0.0002164227,0.0002152231,0.0009272734,0.00006926301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003270101,0.001004752,0.01350198,0.2013848,0.02316246,0.000009003265,0.1249469,0.0002693568,0.0004190205,0.2837396,0.07200643,0.279523],"study_design_scores_gemma":[0.0001941834,0.0002431987,0.02926184,0.1264908,0.004551399,0.00001534137,0.1969093,0.0002200562,0.0003008947,0.001009317,0.639619,0.001184669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4551424,0.4438497,0.004391911,0.06963097,0.009326519,0.004922566,0.0000330482,0.002814478,0.009888431],"genre_scores_gemma":[0.9551049,0.0330488,0.0007038361,0.0004553147,0.0001981564,0.001611641,0.00001470524,0.0000148694,0.008847809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5676125,"threshold_uncertainty_score":0.9893454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445063474333549,"score_gpt":0.4204193496505067,"score_spread":0.3759130022171518,"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."}}