{"id":"W4402832392","doi":"10.1371/journal.pdig.0000573","title":"Digital health and equitable access to care","year":2024,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; Public Health Ontario; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Digital health; Health care; Equity (law); Psychological intervention; Health equity; Business; Telehealth; Public relations; Upstream (networking); Knowledge management; Political science; Nursing; Telemedicine; Medicine; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005224276,0.0003814938,0.0007128663,0.0003955049,0.002063935,0.0005863882,0.000417914,0.0001858645,0.0001263634],"category_scores_gemma":[0.0002833318,0.0003509181,0.00007946329,0.0009808418,0.0000718351,0.00149833,0.0006035256,0.0009396652,0.00194576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229708,"about_ca_system_score_gemma":0.007604512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003779042,"about_ca_topic_score_gemma":0.000308235,"domain_scores_codex":[0.9944255,0.0001431009,0.00141912,0.001021074,0.0005207597,0.002470406],"domain_scores_gemma":[0.9943211,0.0006879343,0.0002436675,0.0006538272,0.00021113,0.003882312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008203731,0.0001685087,0.01454813,0.0198402,0.00002643364,0.000006455136,0.007518523,0.000002899176,0.000001115701,0.01290106,0.2026627,0.742242],"study_design_scores_gemma":[0.0004746332,0.0007177907,0.00187482,0.002156834,0.000005243984,0.000009156028,0.00496611,0.0001242557,0.000001424891,0.001255238,0.988102,0.0003124647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.117818,0.1258686,0.006799981,0.3333895,0.005985948,0.05570376,0.01259609,0.006661991,0.3351761],"genre_scores_gemma":[0.9239196,0.002664954,0.0003956439,0.05516434,0.001218276,0.008178439,0.001146499,0.0002005346,0.007111727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8061016,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08908844959149224,"score_gpt":0.4631667172983784,"score_spread":0.3740782677068862,"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."}}