{"id":"W4409238785","doi":"10.56028/aetr.13.1.915.2025","title":"Bibliometric research on clustering based on Citespace","year":2025,"lang":"en","type":"article","venue":"Advances in Engineering Technology Research","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Bibliometrics; Computer science; Library science; Artificial intelligence","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":[0.004075443,0.0008076706,0.001397817,0.07085516,0.001712458,0.005524686,0.0009604613,0.001067564,0.003669119],"category_scores_gemma":[0.02953543,0.0003254721,0.0009075851,0.1188332,0.001987724,0.0084099,0.00186172,0.000669206,0.001140806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002875082,"about_ca_system_score_gemma":0.001984552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003692753,"about_ca_topic_score_gemma":0.002502302,"domain_scores_codex":[0.9920094,0.002306837,0.0006743501,0.0008742483,0.003807843,0.0003274129],"domain_scores_gemma":[0.9810938,0.01020452,0.003398338,0.001590089,0.003345076,0.0003682048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001197415,0.0001692515,0.1015498,0.003710263,0.0008899632,0.00040438,0.003865116,0.02518841,0.002327574,0.4449036,0.02288577,0.3939862],"study_design_scores_gemma":[0.00004201367,0.0001890386,0.1937421,0.002061627,0.000656816,0.002130592,0.008299009,0.1567772,0.006833952,0.4640611,0.1648426,0.0003638487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.344252,0.05746254,0.275964,0.009867003,0.001327672,0.00052374,0.01317317,0.003362258,0.2940676],"genre_scores_gemma":[0.9452174,0.01759825,0.02652836,0.0002595116,0.001190806,0.0002164528,0.003453713,0.0001813164,0.005354196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9291449,"threshold_uncertainty_score":0.02155322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588037147441101,"score_gpt":0.4538631514107412,"score_spread":0.3979827799363302,"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."}}