{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001664025,0.0001418158,0.0007051138,0.09288389,0.00004615379,0.00003800059,0.0005999273,0.0001689835,0.0005082732],"category_scores_gemma":[0.0003091619,0.0001026288,0.0005447106,0.1624873,0.00036771,0.0002117768,0.000135867,0.0002591742,3.892599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090219,"about_ca_system_score_gemma":0.0001617226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000912725,"about_ca_topic_score_gemma":0.000365345,"domain_scores_codex":[0.9975462,0.0002266758,0.001110831,0.0002733537,0.0006637139,0.0001792142],"domain_scores_gemma":[0.9985271,0.0002486424,0.0006270997,0.0003246545,0.0002320109,0.00004053067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002509494,0.004611289,0.2367529,0.0001986619,0.05196346,0.000003150584,0.000904048,0.004342156,0.000047833,0.5425621,0.000302018,0.1582872],"study_design_scores_gemma":[0.0001077657,0.00004074605,0.9221186,0.00003014324,0.05561164,0.000001200532,0.00917187,0.0004463787,0.00003258804,0.01125769,0.001092292,0.0000890793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647726,0.004729614,0.000466878,0.02349525,0.0001496644,0.0004271413,0.00004565363,0.00001492672,0.005898322],"genre_scores_gemma":[0.9948452,0.001047708,0.003324793,0.00003175464,0.00001312811,0.00004262307,0.00003322044,0.000005469207,0.0006560649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6853657,"threshold_uncertainty_score":0.9173975,"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."}}