{"id":"W4366503250","doi":"10.1108/idd-11-2022-0110","title":"A 30-year bibliometric assessment and visualisation of emotion regulation research: applying network analysis and cluster analysis","year":2023,"lang":"en","type":"article","venue":"Information Discovery and Delivery","topic":"Mental Health Research Topics","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Thematic analysis; Alexithymia; Emotional regulation; Anxiety; Social science; Sociology; Clinical psychology; Qualitative research","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.003064708,0.0000936802,0.0002413152,0.02051827,0.0002604465,0.0002246909,0.00005713353,0.0001068449,0.0001402785],"category_scores_gemma":[0.00007389528,0.00008917337,0.00005812324,0.03977234,0.0001140715,0.001828374,0.0001447733,0.0001602121,0.00002161097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006646132,"about_ca_system_score_gemma":0.00003405661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004304495,"about_ca_topic_score_gemma":0.00003746291,"domain_scores_codex":[0.9980226,0.0003950559,0.0005093401,0.0001937004,0.000593892,0.0002854544],"domain_scores_gemma":[0.9987481,0.0005360813,0.0002080632,0.0002088654,0.0001959244,0.0001029697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000262762,0.00005841204,0.8530761,0.0003838312,0.001366282,0.000001599432,0.004086658,0.00590576,0.00003530543,0.01076523,0.002273029,0.121785],"study_design_scores_gemma":[0.0004268785,0.0001030335,0.931666,0.00001812564,0.0002215015,9.132779e-7,0.002086033,0.06448261,0.000008081891,0.0006230272,0.0002867592,0.00007706928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817263,0.0001387324,0.01585076,0.0001310764,0.00006896369,0.0004637452,0.00003982551,0.00002844553,0.001552142],"genre_scores_gemma":[0.9982482,0.000708836,0.0002538653,0.00008105173,0.00004820172,0.00006061158,0.0004212323,0.000004520566,0.0001735045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217079,"threshold_uncertainty_score":0.9905833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326636753907423,"score_gpt":0.4630819160994846,"score_spread":0.3304182407087424,"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."}}