{"id":"W7117100164","doi":"10.1097/ajn.0000000000000221","title":"Identifying and Avoiding Predatory Conferences","year":2025,"lang":"en","type":"article","venue":"AJN American Journal of Nursing","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC","funders":"","keywords":"Vigilance (psychology); Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408615,0.00005508698,0.0001588432,0.0002110334,0.0004907995,0.0001989442,0.000144898,0.00001510925,0.00004446962],"category_scores_gemma":[0.0001063249,0.00005233611,0.0000448889,0.0003135698,0.0005963058,0.0002361916,0.00001914251,0.000146206,0.000001103461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009724503,"about_ca_system_score_gemma":0.0002431951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000340775,"about_ca_topic_score_gemma":0.00009463158,"domain_scores_codex":[0.9991538,0.0001886931,0.0002144639,0.00008517613,0.0001996562,0.0001582344],"domain_scores_gemma":[0.9994016,0.0001290238,0.0002262914,0.00005276898,0.0001194251,0.00007093418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001579268,0.00003990148,0.004932494,0.000008586129,0.00004446535,0.000005649993,0.01803201,0.000004074746,0.0001178181,0.09529747,0.001194085,0.8803077],"study_design_scores_gemma":[0.0004595192,0.0002793908,0.03272913,0.002496792,0.0001952009,0.00001486231,0.8396184,0.0001285467,0.0001259693,0.04973428,0.07395893,0.00025891],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8123929,0.001202518,0.02166758,0.01043157,0.00118206,0.0001068914,0.000001107024,0.00002584768,0.1529895],"genre_scores_gemma":[0.9979689,0.0004657244,0.0009639941,0.0001297264,0.0001051288,5.658978e-7,1.426679e-7,0.000002271104,0.0003635117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800488,"threshold_uncertainty_score":0.3774883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710330526766929,"score_gpt":0.3893838184458285,"score_spread":0.3422805131781592,"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."}}