{"id":"W2265448396","doi":"10.3138/jsp.47.2.121","title":"The Research Contributions of Editorial Board Members in Library and Information Science","year":2016,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Citation; Productivity; On board; Library science; Institutional review board; Political science; Psychology; History; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.05581344,0.0005465169,0.0006185854,0.01192165,0.003251346,0.007338341,0.0009890066,0.001027459,0.008021391],"category_scores_gemma":[0.2401197,0.0003439212,0.0003763662,0.008197182,0.001937321,0.003819925,0.003824769,0.000841032,0.002562351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669044,"about_ca_system_score_gemma":0.003914457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007562634,"about_ca_topic_score_gemma":0.001684668,"domain_scores_codex":[0.9431298,0.02612014,0.00733964,0.002550566,0.01783285,0.003026959],"domain_scores_gemma":[0.456686,0.2560087,0.135277,0.02380341,0.07680293,0.051422],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000497604,0.0002903095,0.6515995,0.001149754,0.0002078518,0.000655507,0.01986146,0.0002841462,0.002853757,0.00236082,0.01897765,0.3012617],"study_design_scores_gemma":[0.00004552908,0.0005561218,0.9106969,0.0006558903,0.0001108376,0.001242946,0.01545504,0.0003053443,0.001744573,0.001454186,0.06766172,0.00007097628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.905031,0.01175172,0.00257973,0.007081674,0.002950234,0.0003172478,0.0006123654,0.0001897389,0.06948646],"genre_scores_gemma":[0.9812629,0.003480471,0.001990994,0.0006346371,0.003045265,0.0001431785,0.0004978427,0.00006460841,0.008880048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9880784,"threshold_uncertainty_score":0.2951732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962536937135523,"score_gpt":0.2768465446780073,"score_spread":0.2572211753066521,"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."}}