{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003349751,0.0006703729,0.001237862,0.0004494773,0.00130636,0.0004717863,0.0004031027,0.0003596942,0.0001688132],"category_scores_gemma":[0.0007902315,0.000488655,0.000532964,0.001278196,0.00006437695,0.000309337,0.0002012815,0.000984318,0.0007546116],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173234,"about_ca_system_score_gemma":0.00648824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005625776,"about_ca_topic_score_gemma":0.00383874,"domain_scores_codex":[0.9932579,0.0003209094,0.001676204,0.001387287,0.00100756,0.002350071],"domain_scores_gemma":[0.9935707,0.002529675,0.0002924963,0.001139055,0.0002645035,0.00220361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008715254,0.0002224477,0.0008660311,0.002475006,0.0001991263,0.00004605156,0.009186381,0.000008759745,0.00001924434,0.02134772,0.9021949,0.06256276],"study_design_scores_gemma":[0.001768734,0.003557335,0.002537978,0.00002501075,0.00005910212,0.0003317573,0.001963009,0.003015419,0.000009963997,0.0001191659,0.9861445,0.0004679799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07425449,0.004706824,0.00501494,0.9062945,0.002649106,0.00436946,0.0005336731,0.0007546727,0.001422328],"genre_scores_gemma":[0.2552254,0.0004478037,0.0004670743,0.7402217,0.0002873972,0.0007105483,0.0003699193,0.0001992768,0.002070866],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.180971,"threshold_uncertainty_score":0.9999938,"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."}}