{"id":"W2019124232","doi":"10.1142/s0219878913500137","title":"SENSORY SIGNAL PROCESSING ISSUES IN A TELEMEDICINE SYSTEM","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Acquisition","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telemedicine; Computer science; SIGNAL (programming language); Signal processing; Signal conditioning; Real-time computing; Multimedia; Artificial intelligence; Human–computer interaction; Computer hardware; Health care; Digital signal processing","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":[0.0005543557,0.0002221807,0.0002568795,0.0002524716,0.0004820833,0.001629403,0.0005209995,0.001538948,0.00286606],"category_scores_gemma":[0.002078476,0.0002141684,0.0001860109,0.000267966,0.0009012711,0.001449976,0.0003789651,0.0006024081,0.0006039278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476166,"about_ca_system_score_gemma":0.0002603624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007962491,"about_ca_topic_score_gemma":0.0004870953,"domain_scores_codex":[0.9995556,0.000147434,0.00002262832,0.00005778857,0.0001936904,0.00002273572],"domain_scores_gemma":[0.9993556,0.0004224193,0.000027328,0.00003521314,0.0001416672,0.0000178069],"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":[0.000835403,0.0002468496,0.002176441,0.001134679,0.00009362443,0.002828668,0.00152758,0.1179445,0.3560257,0.1213619,0.004120471,0.3917043],"study_design_scores_gemma":[0.0001332853,0.001410534,0.004696461,0.0002845348,0.0001359857,0.004135385,0.0009248233,0.7267241,0.1393007,0.08592061,0.03618838,0.0001452642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06528727,0.002598693,0.9099136,0.003165383,0.0002365817,0.0001207119,0.0000462772,0.0004505707,0.01818091],"genre_scores_gemma":[0.8483062,0.002623542,0.1376941,0.0009965311,0.0004204118,0.00009385862,0.0000392817,0.00005019274,0.009775924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00286606,"threshold_uncertainty_score":0.009587944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005985921537999359,"score_gpt":0.2330831912730901,"score_spread":0.2270972697350907,"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."}}