{"id":"W2017043167","doi":"10.1007/s11192-009-0069-z","title":"Applying the h-index in exploring bibliometric properties of elite marketing scholars","year":2009,"lang":"en","type":"article","venue":"Scientometrics","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Elite; Prestige; Index (typography); Metric (unit); Sociology; Bibliometrics; Library science; Marketing; Social science; Political science; Computer science; Business; Philosophy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics","metaresearch"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01718197,0.0003814299,0.001399935,0.03690618,0.001628662,0.005632412,0.0009631449,0.001090607,0.004694113],"category_scores_gemma":[0.1054357,0.0002137489,0.001260882,0.05407901,0.001560666,0.004772393,0.002595068,0.0007636179,0.001209572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540456,"about_ca_system_score_gemma":0.001815005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003485802,"about_ca_topic_score_gemma":0.002272162,"domain_scores_codex":[0.9884024,0.004306374,0.001258572,0.000767304,0.004575007,0.0006903316],"domain_scores_gemma":[0.8440304,0.1264574,0.0103104,0.009955431,0.006540273,0.002706144],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003537601,0.0003574326,0.8694444,0.0003277711,0.00100801,0.0002489495,0.002076267,0.00361515,0.00100293,0.01792574,0.003467798,0.1001719],"study_design_scores_gemma":[0.00009360178,0.0006576635,0.9274982,0.00007920142,0.0003090634,0.000427519,0.004769964,0.02505588,0.001808721,0.03309099,0.006114544,0.0000946616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348879,0.001125564,0.01538954,0.0005588638,0.00009563015,0.0001800518,0.002497411,0.0002780711,0.0449869],"genre_scores_gemma":[0.9966949,0.0001442783,0.001817038,0.00002917331,0.0001215121,0.00005120261,0.0006936005,0.00002102642,0.0004271513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.982818,"threshold_uncertainty_score":0.090868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.089740442885697,"score_gpt":0.2748107175528747,"score_spread":0.1850702746671777,"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."}}