{"id":"W2793908390","doi":"10.3390/diseases6010018","title":"Less Is More in Biosignal Analysis: Compressed Data Could Open the Door to Faster and Better Diagnosis","year":2018,"lang":"en","type":"article","venue":"Diseases","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biosignal; Laptop; Data collection; Computer science; Internet access; Mobile phone; Mobile device; The Internet; Field (mathematics); Real-time computing; Telecommunications; World Wide Web; Wireless","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":[0.002732739,0.00105576,0.001007379,0.001789568,0.0006142781,0.004041429,0.001193374,0.002755524,0.01197066],"category_scores_gemma":[0.0104978,0.0004401214,0.0007758042,0.002445261,0.002896273,0.007621781,0.001757058,0.00281655,0.0045949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007550544,"about_ca_system_score_gemma":0.0006852154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621323,"about_ca_topic_score_gemma":0.000756819,"domain_scores_codex":[0.9981122,0.0005260787,0.000146063,0.0003498516,0.0008017222,0.000064098],"domain_scores_gemma":[0.9910918,0.005367751,0.0004083497,0.001843759,0.001075535,0.0002128393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008544415,0.0002581523,0.002736141,0.001615564,0.0002275589,0.0005492405,0.0007010764,0.005045416,0.04328867,0.1302478,0.04817039,0.7663056],"study_design_scores_gemma":[0.000204744,0.00102492,0.006475816,0.00164208,0.0003412053,0.00595069,0.001080357,0.03808864,0.05062328,0.2536816,0.6404466,0.0004399834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02768587,0.06623049,0.7710546,0.07151721,0.01186325,0.0002176848,0.001594944,0.001647976,0.04818789],"genre_scores_gemma":[0.2272785,0.06897745,0.6125311,0.01918583,0.02468641,0.0002585234,0.002223324,0.001112522,0.04374624],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01197066,"threshold_uncertainty_score":0.04004586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08086846512654633,"score_gpt":0.3824546430207871,"score_spread":0.3015861778942408,"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."}}