{"id":"W3023612994","doi":"10.3138/jsp.51.3.02","title":"Nigerian Academics Patronizing Predatory Journals","year":2020,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Promotion (chess); Publication; Mentorship; Public relations; Quality (philosophy); Accreditation; Sociology; Face (sociological concept); Political science; Social science; Politics; 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":[{"model":"gemma","categories":["metaresearch","research_integrity"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication","research_integrity"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","bibliometrics","scholarly_communication"],"category_scores_codex":[0.1007497,0.000192336,0.0006091991,0.03485867,0.0004250522,0.2250687,0.008602949,0.00044467,0.0007634164],"category_scores_gemma":[0.4656338,0.0001341839,0.0004342035,0.1028702,0.00008968775,0.1644013,0.001298211,0.006170677,0.0001049041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623728,"about_ca_system_score_gemma":0.001038372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007452127,"about_ca_topic_score_gemma":0.000001038288,"domain_scores_codex":[0.9726712,0.0007485246,0.002595597,0.0005177993,0.02268507,0.0007818619],"domain_scores_gemma":[0.9646835,0.004019361,0.003022923,0.0005431521,0.024981,0.00275003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009253439,0.00007560895,0.4710388,0.00001135814,0.00008347439,0.0001974909,0.001628093,0.0002278965,0.01284084,0.0006119902,0.2696564,0.2435355],"study_design_scores_gemma":[0.001789456,0.000635363,0.1397698,0.0001049185,0.00002945074,0.0003717592,0.00617461,0.002114022,0.001569921,0.01554621,0.8314476,0.0004469398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138062,0.0147505,0.02399974,0.1377269,0.002254924,0.000171141,0.00003888106,0.00003285593,0.007218798],"genre_scores_gemma":[0.9856615,0.00068054,0.005787332,0.005379281,0.002218787,6.630831e-7,6.935999e-7,0.00002420008,0.0002469968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5617911,"threshold_uncertainty_score":0.996761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7676862134537907,"score_gpt":0.5499434508952649,"score_spread":0.2177427625585259,"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."}}