{"id":"W7005122801","doi":"","title":"Predatory Journals on Trial: Allegations, Responses, and Lessons for Scholarly Publishing from FTC v. OMICS","year":2019,"lang":"en","type":"article","venue":"The University of Malaya Research Repository (University of Malaya)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lawsuit; Publishing; Harm; Interim; Omics; Commission; Deception","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity","scholarly_communication"],"domain":null,"study_design":"qualitative","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":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0667336,0.0008642701,0.00143302,0.003550126,0.03456026,0.04533301,0.005405336,0.06959097,0.009495369],"category_scores_gemma":[0.2232263,0.001254898,0.001960351,0.005068633,0.03014588,0.02190522,0.01388043,0.05056822,0.002675446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01783603,"about_ca_system_score_gemma":0.01905336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380373,"about_ca_topic_score_gemma":0.03670792,"domain_scores_codex":[0.9338202,0.0268178,0.003855391,0.004748043,0.02209972,0.008658823],"domain_scores_gemma":[0.7584465,0.1964562,0.01162444,0.007517966,0.01711909,0.008835869],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003345536,0.0002207773,0.006382834,0.0004353957,0.0001154334,0.01090067,0.07847692,0.0002431537,0.0007979139,0.4661132,0.4032204,0.03275869],"study_design_scores_gemma":[0.000304277,0.0002537011,0.005062076,0.001732886,0.0002254487,0.002712439,0.06025421,0.0008144536,0.002811587,0.1530708,0.7723992,0.0003589635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0465487,0.005077943,0.001114598,0.7941676,0.003529048,0.0001110944,0.00008390352,0.0001051831,0.1492618],"genre_scores_gemma":[0.3615408,0.003534605,0.001230691,0.5873902,0.005240869,0.0001768356,0.00009079959,0.0001836533,0.04061144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9332664,"threshold_uncertainty_score":0.3529252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06033426333512915,"score_gpt":0.2996378895936241,"score_spread":0.2393036262584949,"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."}}