{"id":"W2766631362","doi":"10.1007/s40037-017-0381-x","title":"Predatory publishers and fraudulent conferences: Perspectives and implications for novice researchers","year":2017,"lang":"en","type":"letter","venue":"Perspectives on Medical Education","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"Fonds de Recherche du Québec - Santé","keywords":"Data science; Computer science; Medical education; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03650189,0.0006011792,0.001748161,0.002208302,0.01008541,0.02082392,0.004495423,0.111219,0.0110921],"category_scores_gemma":[0.2002492,0.0007674288,0.001486028,0.003035589,0.01627118,0.01585301,0.006826079,0.07052036,0.004123865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009791649,"about_ca_system_score_gemma":0.01691243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006918051,"about_ca_topic_score_gemma":0.01606246,"domain_scores_codex":[0.9718023,0.009220224,0.002822806,0.002726846,0.01034799,0.003079856],"domain_scores_gemma":[0.6689502,0.2652511,0.01323315,0.006009411,0.02620799,0.02034819],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008782055,0.00007836006,0.002807481,0.0001769614,0.00004038811,0.003894639,0.001745549,0.00009916925,0.0001650909,0.06630675,0.9021047,0.02249297],"study_design_scores_gemma":[0.0002210087,0.00007560019,0.002738176,0.001295401,0.00007113599,0.003761411,0.00761522,0.0006382025,0.000374259,0.1631468,0.8198674,0.0001954264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002343487,0.0007811378,0.00003181622,0.996194,0.001659253,0.000001371143,0.000006928395,0.000002864241,0.001088265],"genre_scores_gemma":[0.01014186,0.001989926,0.0001932391,0.9635579,0.02139071,0.00001716584,0.00001296133,0.00001622139,0.002680082],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9634981,"threshold_uncertainty_score":0.1930428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5267025819357913,"score_gpt":0.6044501190546383,"score_spread":0.07774753711884697,"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."}}