{"id":"W4407608597","doi":"10.22452/mojem.vol12no4.1","title":"A BIBLIOMETRIC ANALYSIS OF TECHNOLOGICAL MANAGEMENT TRENDS IN PRESCHOOL EDUCATION AND META-ANALYSIS OF THE UTILIZATION OF TECHNOLOGICAL TOOLS IN CLASSROOM","year":2024,"lang":"en","type":"article","venue":"Malaysian Online Journal of Educational Management","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Meta-analysis; Knowledge management; Computer science; Mathematics education; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","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":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04340192,0.001712604,0.01043139,0.197578,0.001724555,0.006315561,0.002778437,0.00165945,0.003723385],"category_scores_gemma":[0.1337751,0.001335066,0.01857377,0.1707741,0.001450178,0.005210013,0.003369105,0.001409787,0.0004236971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005568935,"about_ca_system_score_gemma":0.01631694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189634,"about_ca_topic_score_gemma":0.01927324,"domain_scores_codex":[0.9523485,0.0110929,0.02296571,0.003120881,0.009731334,0.0007405211],"domain_scores_gemma":[0.813436,0.1309184,0.02858897,0.007998696,0.01761655,0.00144133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0009253708,0.0001554024,0.09069242,0.6354043,0.1347588,0.0006516257,0.004197793,0.001123539,0.001024592,0.002124805,0.005707602,0.1232338],"study_design_scores_gemma":[0.0004833489,0.0008468698,0.2677838,0.1974756,0.4692079,0.0015795,0.006309289,0.002007687,0.002353419,0.003155506,0.04840476,0.0003923892],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1149973,0.8180465,0.007911956,0.002433341,0.0005896678,0.004173397,0.04451366,0.0004702093,0.006863955],"genre_scores_gemma":[0.5401201,0.3984132,0.02403137,0.0006131821,0.0003557409,0.01100416,0.02346698,0.0002115597,0.001783782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.802422,"threshold_uncertainty_score":0.229534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0882114477981382,"score_gpt":0.3997086856058982,"score_spread":0.31149723780776,"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."}}