{"id":"W3036257241","doi":"10.1016/j.jvs.2020.04.429","title":"The Extent of Academic Spam Within Academic Medicine","year":2020,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Medical education; Family medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002782844,0.0002475907,0.0004921038,0.006921508,0.00115434,0.002377308,0.0005682749,0.001296743,0.003499946],"category_scores_gemma":[0.03542354,0.0002793142,0.0003825449,0.002601382,0.0008816624,0.001855508,0.001650757,0.0007895559,0.001603265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009259238,"about_ca_system_score_gemma":0.0007935566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571338,"about_ca_topic_score_gemma":0.003254939,"domain_scores_codex":[0.9958546,0.00135616,0.0005238072,0.0005259912,0.001107732,0.0006317404],"domain_scores_gemma":[0.9517762,0.01893821,0.01509214,0.002234065,0.007665223,0.004294139],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002180427,0.00006628456,0.9858389,0.000039382,0.00004812151,0.000147861,0.0006153447,0.0002884008,0.0009835761,0.0003849637,0.0007354942,0.01063371],"study_design_scores_gemma":[0.00000519688,0.0001343126,0.99045,0.00004024313,0.00004303391,0.0008597319,0.001358619,0.003974202,0.001212554,0.0004748386,0.001430664,0.00001669643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951674,0.0005203399,0.0004437984,0.0004509373,0.00002636,0.00001450636,0.0005741291,0.00003780808,0.002764911],"genre_scores_gemma":[0.9987974,0.0001194797,0.0002259364,0.00007907792,0.00008364984,0.000006367511,0.0002697398,0.000006434286,0.0004118491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9972172,"threshold_uncertainty_score":0.01471728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414453753996088,"score_gpt":0.2661032509963701,"score_spread":0.2246578755967613,"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."}}