{"id":"W2939533502","doi":"10.3138/jsp.50.3.02","title":"Predatory Journals on Trial: Allegations, Responses, and Lessons for Scholarly Publishing from <i>FTC v. OMICS</i>","year":2019,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; Yale University","keywords":"Publishing; Lawsuit; Interim; Omics; Harm; Law; Political science; Business; Public relations; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaresearch","scholarly_communication","research_integrity"],"category_scores_codex":[0.1002286,0.0005064025,0.001360849,0.003153304,0.001002117,0.553503,0.009860905,0.001363052,0.0002933647],"category_scores_gemma":[0.3880143,0.0003905878,0.0006015854,0.002040767,0.0001304784,0.6040409,0.001105486,0.01007706,0.00005074935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004704595,"about_ca_system_score_gemma":0.001929174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000188613,"about_ca_topic_score_gemma":0.00002617028,"domain_scores_codex":[0.9832872,0.002255654,0.004211269,0.001248148,0.008068114,0.0009296836],"domain_scores_gemma":[0.9583338,0.01965705,0.006488226,0.001558293,0.01260559,0.001356999],"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":[0.02381223,0.0003970261,0.06399242,0.00002652015,0.0005308537,0.0000542514,0.002387554,0.0002351397,0.004596271,0.01962702,0.7817788,0.1025619],"study_design_scores_gemma":[0.03742211,0.0009180995,0.04998861,0.0007488246,0.0001399421,0.0001643884,0.007135174,0.0003896835,0.0004939818,0.1320372,0.7697569,0.0008051087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273525,0.005309793,0.002805829,0.1518342,0.005754495,0.0009427115,0.0005930992,0.00006396764,0.005343474],"genre_scores_gemma":[0.9658746,0.0004921947,0.01096762,0.01239954,0.004479002,0.0000275293,0.00004690758,0.0001206957,0.005591968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2877857,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806273246215252,"score_gpt":0.4141231296087894,"score_spread":0.2334958049872642,"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."}}