{"id":"W2995833488","doi":"10.2196/14994","title":"Identifying and Overcoming Policy-Level Barriers to the Implementation of Digital Health Innovation: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Digital health; Qualitative research; Public relations; Knowledge management; Work (physics); Health care; Government (linguistics); Business; Health policy; Health informatics; Process management; Sociology; Political science; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05059804,0.0000866705,0.0003282404,0.001024726,0.0003275472,0.00006670727,0.0006907132,0.00006568291,0.001925139],"category_scores_gemma":[0.01603503,0.00005684836,0.00003086448,0.001734107,0.0001539416,0.0004295075,0.0005413136,0.001325164,0.00006467433],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005312212,"about_ca_system_score_gemma":0.006828459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0042631,"about_ca_topic_score_gemma":0.001175901,"domain_scores_codex":[0.9890003,0.004076356,0.002116393,0.0001908364,0.003982734,0.0006334122],"domain_scores_gemma":[0.9917235,0.004892809,0.0008782459,0.0002104627,0.001537112,0.0007578114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009583499,0.00003806047,0.07682704,0.0002191682,0.00005256824,0.000003853299,0.8577734,3.854474e-7,0.00005819466,0.006740001,0.04390877,0.01428275],"study_design_scores_gemma":[0.001757013,0.001257099,0.04077034,0.0003795302,0.000002345722,0.000009593245,0.9420062,0.00002779308,0.00003341241,0.0007700932,0.01293379,0.00005275685],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636281,0.0000174224,0.001283222,0.1335322,0.0002922104,0.001046947,0.00003179589,0.000003189836,0.0001649005],"genre_scores_gemma":[0.9923472,0.00002111396,0.0001412789,0.006622719,0.0003307521,0.00002669275,0.000001591412,0.00001019864,0.000498499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.128719,"threshold_uncertainty_score":0.9989873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7261259447055234,"score_gpt":0.7751084223424459,"score_spread":0.04898247763692254,"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."}}