{"id":"W6892169692","doi":"10.51408/issi2025_069","title":"Guidance List for Reporting Bibliometric Analyses (GLOBAL): A Two-Round Modified Delphi Study","year":2025,"lang":"en","type":"article","venue":"","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs","keywords":"Delphi method; Likert scale; Bibliometrics; Content analysis; Transparency (behavior); Delphi; Inclusion (mineral)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3894113,0.002429756,0.002777896,0.01329995,0.007672124,0.006872684,0.005533713,0.006170143,0.007331355],"category_scores_gemma":[0.4542438,0.002739368,0.003900237,0.007780451,0.006317588,0.007706725,0.01616993,0.00575815,0.003691613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01241395,"about_ca_system_score_gemma":0.05084031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003527673,"about_ca_topic_score_gemma":0.005401946,"domain_scores_codex":[0.5123411,0.4020561,0.04450015,0.008215469,0.02499928,0.007887827],"domain_scores_gemma":[0.4988243,0.2515706,0.02560037,0.02959537,0.1861783,0.00823111],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002513168,0.001428748,0.009201913,0.0294896,0.0003897689,0.002359726,0.3833288,0.004960171,0.01172199,0.02769947,0.09902985,0.4278768],"study_design_scores_gemma":[0.002995754,0.004487133,0.0237317,0.0430731,0.0006561012,0.001793335,0.263784,0.0177209,0.01322733,0.0631345,0.5639554,0.001440824],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.08792409,0.001756054,0.3444252,0.02249511,0.00154825,0.5203351,0.002605897,0.001551168,0.01735917],"genre_scores_gemma":[0.05208695,0.001030847,0.3606619,0.003441416,0.0001871724,0.5798939,0.0009215804,0.000202692,0.001573487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867001,"threshold_uncertainty_score":0.7529646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5081474881378477,"score_gpt":0.6420760984830811,"score_spread":0.1339286103452334,"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."}}