{"id":"W2103268550","doi":"10.1155/2012/924791","title":"Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification","year":2012,"lang":"en","type":"article","venue":"Journal of Computer Networks and Communications","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biometrics; Computer science; Identification (biology); Computer security; Field (mathematics); Telemedicine; Authentication (law); Health care; Identity (music); SIGNAL (programming language)","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":[],"consensus_categories":[],"category_scores_codex":[0.001439111,0.0005412151,0.0005430088,0.0009342298,0.0004490652,0.001190669,0.0008707083,0.002076764,0.004907911],"category_scores_gemma":[0.002587406,0.0002835379,0.000378114,0.0008795962,0.0008197997,0.001907837,0.001294353,0.001031468,0.003085229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683104,"about_ca_system_score_gemma":0.0004412399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002752694,"about_ca_topic_score_gemma":0.0002266391,"domain_scores_codex":[0.9980845,0.0005096727,0.0001229458,0.0002579803,0.0009195113,0.0001053984],"domain_scores_gemma":[0.9990577,0.0002186442,0.0001887936,0.0002788244,0.0002049933,0.0000511119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007410908,0.0001757301,0.003322229,0.0005241579,0.0000721934,0.0009419374,0.0003735854,0.005009407,0.2172915,0.04478086,0.01227421,0.714493],"study_design_scores_gemma":[0.0003072238,0.001948371,0.02496254,0.000832496,0.0001819137,0.01918587,0.0005499782,0.3290499,0.3213862,0.0754452,0.2257631,0.0003871485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02862211,0.007589388,0.9489758,0.002549148,0.0006436844,0.0001999909,0.0003074118,0.003089386,0.008023153],"genre_scores_gemma":[0.6175228,0.005409428,0.3603081,0.001056515,0.0005304792,0.0002840852,0.0004599857,0.0001683012,0.01426023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004907911,"threshold_uncertainty_score":0.01641858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339764917556227,"score_gpt":0.2937051717526986,"score_spread":0.2703075225771364,"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."}}