{"id":"W4319317917","doi":"10.3390/su15032798","title":"Visualization Analysis of Global Self-Regulated Learning Status, Hotspots, and Future Trends Based on Knowledge Graph","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Period (music); Library science; Bibliometrics; Self-regulated learning; China; Political science; Geography; Psychology; Computer science; Mathematics education; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007929946,0.0004955709,0.0003231535,0.01953699,0.0005091973,0.002207717,0.0003917946,0.0005002269,0.006522951],"category_scores_gemma":[0.003177622,0.0001296401,0.0006016297,0.01540299,0.000296918,0.001935661,0.0009202675,0.0004217373,0.0007365745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007614205,"about_ca_system_score_gemma":0.0008203389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009978538,"about_ca_topic_score_gemma":0.01136251,"domain_scores_codex":[0.9997185,0.00004954532,0.00002806721,0.00007337303,0.00007469115,0.00005570897],"domain_scores_gemma":[0.9971789,0.001545568,0.0004507948,0.0001263161,0.0005184054,0.0001800784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006566771,0.0002120151,0.3097547,0.00422874,0.0005756548,0.002306883,0.03131282,0.02387006,0.0134496,0.05977944,0.09111094,0.4627425],"study_design_scores_gemma":[0.0001015342,0.0002403253,0.5016108,0.001352141,0.0007858972,0.001246093,0.03444318,0.1426053,0.007084752,0.05920253,0.2510777,0.000249707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951671,0.008009231,0.05079062,0.003764895,0.0004419054,0.0003734971,0.06810955,0.01031756,0.06302559],"genre_scores_gemma":[0.9278603,0.003194353,0.03982717,0.0001023711,0.000153781,0.0002474558,0.02190929,0.0003489257,0.006356251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.980463,"threshold_uncertainty_score":0.02182144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437993695017307,"score_gpt":0.3942101626568447,"score_spread":0.3798302257066716,"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."}}