{"id":"W3011072340","doi":"10.48550/arxiv.2003.08283","title":"Prevalence of Potentially Predatory Publishing in Scopus on the Country Level","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Russian Foundation for Basic Research","keywords":"Scopus; Publishing; Citation; Web of science; Library science; Citation impact; Scale (ratio); Political science; Geography; Chemistry; World Wide Web; Operations research; Computer science; MEDLINE; Engineering; Law","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01029424,0.0003809124,0.001008302,0.03233186,0.001853851,0.007057173,0.0007106917,0.0007078559,0.002987602],"category_scores_gemma":[0.05941103,0.0001955044,0.0006183237,0.0496577,0.001849261,0.003964766,0.004070039,0.0007094074,0.0009697611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009932393,"about_ca_system_score_gemma":0.001517197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218163,"about_ca_topic_score_gemma":0.00449333,"domain_scores_codex":[0.9869094,0.002966201,0.002414612,0.001890914,0.004758352,0.001060537],"domain_scores_gemma":[0.8212844,0.0719828,0.06576044,0.01174965,0.02339372,0.00582907],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002174479,0.00007630076,0.9421979,0.0008305403,0.0003584556,0.0008869899,0.004009432,0.0005492747,0.001114865,0.00305098,0.003237888,0.04346992],"study_design_scores_gemma":[0.00001370051,0.0001364613,0.9720424,0.0002572487,0.0002279265,0.001757452,0.007456323,0.0008352716,0.001065332,0.002175912,0.01396786,0.00006420469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749996,0.006011884,0.000871312,0.00078853,0.00005041057,0.00004656795,0.006952521,0.0001284459,0.01015058],"genre_scores_gemma":[0.9922341,0.00177958,0.000884592,0.0001085654,0.00007219351,0.00002564573,0.003899535,0.00003715622,0.0009587323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9992921,"threshold_uncertainty_score":0.05444181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7368958277052544,"score_gpt":0.3945571757697195,"score_spread":0.3423386519355349,"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."}}