{"id":"W6912098540","doi":"10.5281/zenodo.15104692","title":"Comparative Analysis of Global Research Publications (2020-2024): Trends, Statistical Insights and recommendations","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dominance (genetics); Statistical analysis; Bibliometrics; Key (lock); Research methodology; Comparative research; Investment (military)","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03252355,0.001057934,0.001695447,0.04608764,0.001071433,0.007262434,0.001201675,0.0008593299,0.004827471],"category_scores_gemma":[0.07216535,0.0003082916,0.002192995,0.07688619,0.001772936,0.01036773,0.001995927,0.00157019,0.002050539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330069,"about_ca_system_score_gemma":0.005693296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375186,"about_ca_topic_score_gemma":0.01927363,"domain_scores_codex":[0.9851633,0.00503559,0.00276615,0.001848264,0.0043889,0.0007978121],"domain_scores_gemma":[0.8744225,0.06325918,0.01523065,0.006625448,0.03679838,0.003663871],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003841874,0.0001527843,0.5151324,0.008133045,0.002848966,0.0003634548,0.002491894,0.001803196,0.0009692537,0.01728953,0.06243227,0.387999],"study_design_scores_gemma":[0.00005569009,0.0004164216,0.7551128,0.008606371,0.002172999,0.0006118568,0.01907626,0.005343772,0.001807341,0.01938363,0.1871811,0.00023174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4164051,0.1969566,0.03854444,0.1693472,0.007711619,0.0009952388,0.1124499,0.002506554,0.0550834],"genre_scores_gemma":[0.8276398,0.05080247,0.05165519,0.004553316,0.00233034,0.0007033219,0.05709262,0.0005464469,0.004676641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9674764,"threshold_uncertainty_score":0.1720031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4075055196280089,"score_gpt":0.5343509377203605,"score_spread":0.1268454180923516,"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."}}