{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01467859,0.0007596282,0.001373939,0.1402058,0.001710622,0.006462617,0.0008792342,0.0008481454,0.004793231],"category_scores_gemma":[0.0831391,0.0002506055,0.001879005,0.1877329,0.001191368,0.004896076,0.002865555,0.0006959679,0.001487689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932296,"about_ca_system_score_gemma":0.003398863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005292473,"about_ca_topic_score_gemma":0.003973572,"domain_scores_codex":[0.9780352,0.005343436,0.002357982,0.001356021,0.01182027,0.001087207],"domain_scores_gemma":[0.9130802,0.04553104,0.01342961,0.00728523,0.01864515,0.002028801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003182983,0.0002241645,0.5169136,0.003354689,0.001655108,0.0008219482,0.005403372,0.01093153,0.002037818,0.03620315,0.02677822,0.3953582],"study_design_scores_gemma":[0.00003696996,0.0002767913,0.8202546,0.0008908597,0.0005471443,0.001236605,0.007350698,0.01942752,0.002436988,0.02757278,0.1197966,0.0001726054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.79533,0.02581779,0.02721786,0.003947895,0.0007510975,0.001013821,0.03785072,0.001230443,0.1068404],"genre_scores_gemma":[0.9558128,0.008348557,0.009645875,0.0002256594,0.0007535014,0.000628736,0.0198764,0.0001462963,0.004562148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8597943,"threshold_uncertainty_score":0.07762879,"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."}}