{"id":"W4392605534","doi":"10.12927/hcpap.2024.27276","title":"Defining “Essential Digital Health for the Underserved”","year":2024,"lang":"en","type":"article","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Canadian Medical Association; University of British Columbia","funders":"","keywords":"Digital health; HRHIS; Health policy; Business; International health; Health equity; Attrition; Health education; Public relations; Health care; Pandemic; Political science; Medicine; Economic growth; Coronavirus disease 2019 (COVID-19); Disease; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01105161,0.0006843872,0.0004297921,0.00380354,0.01428806,0.01443027,0.001564652,0.006244756,0.00405604],"category_scores_gemma":[0.01203024,0.000301876,0.0005318687,0.002801288,0.05799036,0.01267348,0.01392876,0.008035433,0.0004400482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02681463,"about_ca_system_score_gemma":0.06666855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2625371,"about_ca_topic_score_gemma":0.3012754,"domain_scores_codex":[0.9876584,0.005277575,0.0006181394,0.0007693302,0.003257163,0.002419394],"domain_scores_gemma":[0.9857119,0.003780387,0.0009042298,0.0009900063,0.005135806,0.003477724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008619559,0.00001512435,0.001099785,0.0001376163,0.00000471052,0.0001126876,0.01598641,0.00007126929,0.0001555728,0.9416686,0.02614413,0.01459538],"study_design_scores_gemma":[0.00001026297,0.00002965111,0.003039463,0.001277281,0.00002048423,0.0003752688,0.04666394,0.0001555107,0.0004776998,0.1715446,0.7763471,0.00005868575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0212223,0.02873921,0.02235348,0.5537982,0.006567065,0.0002734683,0.0004113728,0.0001002671,0.3665346],"genre_scores_gemma":[0.7223498,0.03639915,0.02702491,0.1737434,0.003247076,0.0003740836,0.0003712677,0.0001190306,0.03637123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2625371,"threshold_uncertainty_score":0.5220178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06882299947079994,"score_gpt":0.3761409460125246,"score_spread":0.3073179465417247,"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."}}