{"id":"W2782500721","doi":"10.11575/prism/20","title":"Avoiding Predatory Journals and Questionable Conferences: A Resource Guide","year":2018,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Public relations; Political science; Business; History; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01412459,0.00008136744,0.000222996,0.0130941,0.0006984648,0.0004139409,0.00125705,0.0001082968,0.001383707],"category_scores_gemma":[0.01030365,0.00007347436,0.00006861152,0.01827332,0.0006109289,0.0006286423,0.0007302871,0.0002741666,0.0001150147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005055039,"about_ca_system_score_gemma":0.0002558496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006137599,"about_ca_topic_score_gemma":0.00001355714,"domain_scores_codex":[0.9956167,0.0003523567,0.0002560821,0.000399841,0.00308195,0.0002930558],"domain_scores_gemma":[0.9954854,0.001705581,0.0002544954,0.0003534986,0.001847843,0.0003531824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007293562,0.00008799166,0.06852769,0.0000118968,0.00003622418,0.00004649685,0.001567165,5.180647e-7,0.001574995,0.006449045,0.108499,0.8131261],"study_design_scores_gemma":[0.000679555,0.000256416,0.160386,0.00005301525,0.00001344671,0.00002167197,0.001873834,0.03563182,0.0006111921,0.01449259,0.7857792,0.0002012062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5218303,0.001528272,0.3411473,0.001175066,0.00014283,0.0001631355,0.00000229315,0.00002749563,0.1339833],"genre_scores_gemma":[0.9420747,0.0006465432,0.02534492,0.0001037583,0.00004489406,1.645537e-7,0.000001600882,0.000006632009,0.03177676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8129249,"threshold_uncertainty_score":0.9995292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3098731044057906,"score_gpt":0.4451281990108951,"score_spread":0.1352550946051045,"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."}}