{"id":"W2781928277","doi":"10.1177/0844562117748287","title":"Predatory Publishing: How to Safely Navigate the Waters of Open Access","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Publishing; Publication; Scholarship; Publish or perish; Public relations; Internet privacy; World Wide Web; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication","open_science"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.09420071,0.000114003,0.0003427144,0.05926391,0.001026423,0.05285907,0.02505817,0.0001181173,0.000506243],"category_scores_gemma":[0.1042977,0.00006547175,0.0001221524,0.1333103,0.001700551,0.006083998,0.001201321,0.001079654,0.0000702512],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009622081,"about_ca_system_score_gemma":0.006438321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005833804,"about_ca_topic_score_gemma":0.002541041,"domain_scores_codex":[0.9861764,0.001167805,0.0007439108,0.00042809,0.01022943,0.001254328],"domain_scores_gemma":[0.9650381,0.004076635,0.0004047959,0.001149293,0.0261407,0.003190459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007426355,0.00003667904,0.02096965,0.000002813556,0.0000146328,0.00005116416,0.002641534,0.0000121427,0.00079526,0.000555408,0.7194862,0.2553602],"study_design_scores_gemma":[0.001122774,0.002339312,0.3512808,0.0009290738,0.00001356908,0.0002105379,0.01697985,0.0004349551,0.01262186,0.06434714,0.5493449,0.0003752195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330186,0.000583356,0.0004952242,0.135231,0.002012611,0.0005543754,0.00006613058,0.000002398625,0.02803628],"genre_scores_gemma":[0.9960588,0.00001687573,0.0003677593,0.0002308019,0.0004163446,0.000002788159,7.127703e-7,0.00001494791,0.002891001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3303112,"threshold_uncertainty_score":0.9991943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9005290747628881,"score_gpt":0.7058359562956766,"score_spread":0.1946931184672115,"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."}}