{"id":"W3173052564","doi":"10.1145/3460870","title":"Introduction to the Special Section on Security and Privacy of Medical Data for Smart Healthcare","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Internet Technology","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Windsor; Computer science; Citation; Internet privacy; Library science; Section (typography); Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002853753,0.002032613,0.001861411,0.003649083,0.001375718,0.005377121,0.001867493,0.005670992,0.1315715],"category_scores_gemma":[0.008723923,0.0008388155,0.001573774,0.001918373,0.001574201,0.005687195,0.002868466,0.007338959,0.08473681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777198,"about_ca_system_score_gemma":0.002390108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000781511,"about_ca_topic_score_gemma":0.001516795,"domain_scores_codex":[0.9972327,0.000457807,0.0002976272,0.0004360225,0.001312527,0.0002632344],"domain_scores_gemma":[0.9869707,0.005113468,0.000667126,0.0008646155,0.004404489,0.001979751],"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":[0.00001799961,0.00002521942,0.00007184393,0.0002161541,0.000006702438,0.00009566285,0.00003136354,0.0001132298,0.0003933935,0.001902861,0.9611177,0.03600782],"study_design_scores_gemma":[0.000003964713,0.00003450598,0.0002062258,0.0002013141,0.000004321286,0.0003579598,0.00002930141,0.0001350586,0.00007112502,0.002115014,0.9968292,0.0000120698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007101053,0.05090372,0.01895326,0.08420263,0.7125587,0.0007086192,0.001307914,0.001280909,0.1293741],"genre_scores_gemma":[0.003128787,0.05800279,0.005237731,0.03249224,0.6649722,0.0003846206,0.00118297,0.0009143807,0.2336844],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1315715,"threshold_uncertainty_score":0.4401507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590664395197958,"score_gpt":0.3078494736244484,"score_spread":0.2819428296724688,"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."}}