{"id":"W2057949802","doi":"10.1097/phh.0000000000000143","title":"Local Public Health Department Adoption and Use of Electronic Health Records","year":2014,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Health records; Public health; Health department; Business; Environmental health; Electronic health record; Data science; Medicine; Computer science; Political science; Health care; Nursing","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":[0.002872394,0.0001501973,0.000187401,0.001038901,0.0006276491,0.001135992,0.0008051539,0.0002652078,0.004295756],"category_scores_gemma":[0.01437742,0.0002682201,0.0004887971,0.002344835,0.0005289968,0.0007602934,0.001961263,0.0005450535,0.0005875623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00299725,"about_ca_system_score_gemma":0.004426865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0792206,"about_ca_topic_score_gemma":0.08272924,"domain_scores_codex":[0.9966533,0.001517656,0.0002524722,0.0004133152,0.0006665853,0.0004967711],"domain_scores_gemma":[0.9854241,0.003472225,0.006874646,0.0008791971,0.002078602,0.001271188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006615256,0.0001140135,0.9769075,0.0001398464,0.00005974819,0.00008875404,0.001238656,0.0002580355,0.000201811,0.0001776136,0.002973804,0.01777406],"study_design_scores_gemma":[0.0000200557,0.0001087081,0.9923444,0.0001026884,0.00003472113,0.00008214694,0.003174471,0.0004128077,0.0001860608,0.00005387123,0.003468726,0.00001132376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884133,0.0002689462,0.0004909572,0.001561999,0.00001645928,0.0001009189,0.004013371,0.0000619259,0.005072097],"genre_scores_gemma":[0.996332,0.0002968558,0.000505187,0.0002835382,0.00002674026,0.0001156302,0.001605716,0.000007685268,0.0008266954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0792206,"threshold_uncertainty_score":0.157519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1687475571557742,"score_gpt":0.4467256721689703,"score_spread":0.2779781150131961,"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."}}