{"id":"W4406403636","doi":"10.5539/jel.v14n3p137","title":"Scientometric Analysis of Personalized Learning Research","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Mathematics education; Statistical analysis; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01745405,0.0000739218,0.0003274747,0.00956478,0.0003805727,0.00005360893,0.0001470572,0.0000745774,0.00073845],"category_scores_gemma":[0.007206788,0.00006480797,0.0001258473,0.01169593,0.0001700289,0.00007208012,0.00002875081,0.001862144,0.000004272604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007143772,"about_ca_system_score_gemma":0.0003040204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008411022,"about_ca_topic_score_gemma":6.410212e-7,"domain_scores_codex":[0.9946501,0.004207352,0.0004515271,0.0001541634,0.0003487968,0.0001880909],"domain_scores_gemma":[0.99651,0.001686276,0.0004987743,0.00009659374,0.001150579,0.00005779043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001340879,0.0003532107,0.5893124,0.00003860198,0.001204761,0.000001667943,0.04170449,0.0009818556,0.002493044,0.01895483,0.00178093,0.34304],"study_design_scores_gemma":[0.0004227679,0.0002569932,0.7914279,0.0001085024,0.0003291005,0.00001056959,0.0445969,0.0003902643,0.00003484271,0.000142163,0.1622066,0.00007341877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493514,0.002911648,0.007966615,0.000460416,0.0006507012,0.00003798959,1.142358e-7,0.000008886027,0.03861225],"genre_scores_gemma":[0.9487405,0.00003675486,0.002900433,0.0000641139,0.0000909643,0.000001829871,0.000002019264,0.0000061837,0.04815722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3429666,"threshold_uncertainty_score":0.8627719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243218280573333,"score_gpt":0.5613490008966099,"score_spread":0.4370271728392766,"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."}}