{"id":"W2782740490","doi":"10.3390/diseases6010006","title":"Merging Digital Medicine and Economics: Two Moving Averages Unlock Biosignals for Better Health","year":2018,"lang":"en","type":"article","venue":"Diseases","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Digital health; Data science; Computer science; Economics; Health care; Economic growth","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":[0.007493954,0.0009267026,0.001185839,0.002673713,0.0008927062,0.007675548,0.001370592,0.002883513,0.006141546],"category_scores_gemma":[0.02596173,0.0004501542,0.001030778,0.002305279,0.005626747,0.01217272,0.004373476,0.005288433,0.001219321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284283,"about_ca_system_score_gemma":0.002623902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668958,"about_ca_topic_score_gemma":0.001624234,"domain_scores_codex":[0.9961497,0.002037344,0.0002106625,0.000404067,0.001028058,0.0001702259],"domain_scores_gemma":[0.988067,0.008831839,0.0007545218,0.000999275,0.0009070548,0.0004402331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001135565,0.00005697263,0.001518389,0.0004243242,0.0001271349,0.0001270829,0.000330425,0.008660095,0.0005108584,0.8413509,0.007575953,0.1392044],"study_design_scores_gemma":[0.00002039769,0.00008428588,0.001317198,0.0003033,0.00005400195,0.0001771432,0.000215267,0.01777502,0.0005239359,0.9442814,0.03518891,0.00005908682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02023012,0.06110131,0.7145519,0.1326201,0.006257601,0.0001316316,0.0002783004,0.0004576393,0.06437136],"genre_scores_gemma":[0.5573711,0.06129549,0.3347591,0.01418281,0.01350019,0.0002829341,0.0002234311,0.0004384246,0.01794652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007675548,"threshold_uncertainty_score":0.03963232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578538882347557,"score_gpt":0.3321864795913742,"score_spread":0.3064010907678986,"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."}}