{"id":"W4251658263","doi":"10.3138/jsp.39.3.294","title":"Publication Diversity","year":2008,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Reputation; Citation; Diversity (politics); Library science; Institution; Peer review; Political science; Public relations; Sociology; Media studies; Computer science; Social science; Law","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":[0.02544694,0.0006260686,0.001413266,0.02115195,0.003473451,0.01600135,0.002337157,0.00140423,0.05060402],"category_scores_gemma":[0.1065374,0.0005166307,0.001171362,0.02447235,0.001638003,0.00826852,0.01014598,0.001882894,0.01721075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702448,"about_ca_system_score_gemma":0.003697349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006005547,"about_ca_topic_score_gemma":0.0008145421,"domain_scores_codex":[0.9551052,0.009681259,0.005995432,0.006825815,0.01990614,0.002486196],"domain_scores_gemma":[0.8649732,0.04936319,0.01435151,0.02779646,0.03051371,0.01300193],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008707832,0.0002467262,0.07628255,0.00336964,0.0008332547,0.001048923,0.01541324,0.0009237718,0.003471322,0.070524,0.109934,0.7170817],"study_design_scores_gemma":[0.00009523343,0.0001911493,0.05212024,0.001610111,0.0002341198,0.003121002,0.004853168,0.0004518884,0.001379551,0.04978275,0.8860317,0.0001291516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1531957,0.05724964,0.02081016,0.01842589,0.0105148,0.001068502,0.02644647,0.001999415,0.7102895],"genre_scores_gemma":[0.7806982,0.02508893,0.01868045,0.00664142,0.01262275,0.001520136,0.02266479,0.001462538,0.1306207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.978848,"threshold_uncertainty_score":0.1692873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7229583708939429,"score_gpt":0.5249491752440847,"score_spread":0.1980091956498582,"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."}}