{"id":"W4413669499","doi":"10.3390/electronics14173371","title":"SecureTeleMed: Privacy-Preserving Volumetric Video Streaming for Telemedicine","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Chinese University of Hong Kong","keywords":"Telemedicine; Computer science; Video streaming; Computer network; Internet privacy; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.0005978548,0.0003975671,0.0002858058,0.0004290213,0.0002513466,0.0007971154,0.0006125926,0.0005830097,0.003276461],"category_scores_gemma":[0.001965802,0.0001303623,0.0002452797,0.000297601,0.0004391812,0.001636253,0.001193738,0.0006866588,0.0008270665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003346998,"about_ca_system_score_gemma":0.0003179647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002842167,"about_ca_topic_score_gemma":0.0002298196,"domain_scores_codex":[0.9992608,0.0001141383,0.00004635486,0.00007163126,0.0004140019,0.00009304492],"domain_scores_gemma":[0.99909,0.0002696634,0.0001387969,0.0002787477,0.0001656894,0.00005724905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002092888,0.000223509,0.002011232,0.0006244787,0.000102915,0.001183284,0.0003644679,0.02322102,0.3822784,0.0408306,0.01475617,0.5323111],"study_design_scores_gemma":[0.0002745983,0.001264914,0.003008314,0.0001834375,0.00008494747,0.004605949,0.0002335763,0.3307102,0.5785335,0.02456027,0.05643042,0.000109934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09315735,0.003601572,0.8847932,0.000932392,0.0003327136,0.0003271954,0.0006116246,0.005743353,0.01050064],"genre_scores_gemma":[0.9030233,0.001367523,0.08808274,0.0004052561,0.0001645942,0.00009067027,0.0006381465,0.0001483554,0.006079384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003276461,"threshold_uncertainty_score":0.01096088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008864325582142603,"score_gpt":0.2682535206482901,"score_spread":0.2593891950661475,"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."}}