{"id":"W2345397487","doi":"10.2196/resprot.5478","title":"Improving Rates of Influenza Vaccination Through Electronic Health Record Portal Messages, Interactive Voice Recognition Calls and Patient-Enabled Electronic Health Record Updates: Protocol for a Randomized Controlled Trial","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pfizer","keywords":"Patient portal; Medicine; Receipt; Outreach; Vaccination; Interactive voice response; Randomized controlled trial; Influenza vaccine; Health care; Medical emergency; Family medicine; World Wide Web; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04091491,0.007526889,0.01318072,0.003738305,0.004221703,0.004818898,0.004213399,0.006333946,0.09375319],"category_scores_gemma":[0.0388914,0.003736144,0.007501622,0.005281783,0.004025528,0.00396758,0.002385662,0.009727567,0.01443549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007907213,"about_ca_system_score_gemma":0.02084428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504201,"about_ca_topic_score_gemma":0.00573307,"domain_scores_codex":[0.9717743,0.01649297,0.00350825,0.002462363,0.002991516,0.002770445],"domain_scores_gemma":[0.9830787,0.005527236,0.003206128,0.002106157,0.004321899,0.001759838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8176286,0.01948049,0.001331175,0.04928879,0.005067338,0.0005343635,0.0009125128,0.004571541,0.002963804,0.01064456,0.03669993,0.05087698],"study_design_scores_gemma":[0.9072463,0.02183384,0.001908813,0.006785447,0.001804473,0.00008448242,0.000219899,0.003630968,0.001069543,0.005017139,0.05023855,0.0001605001],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0006053072,0.0001488462,0.0008487268,0.00008858767,0.0002076603,0.9970104,0.0006604494,0.00005575588,0.0003743551],"genre_scores_gemma":[0.0005058617,0.00006525309,0.001112677,0.00005208303,0.00001650288,0.9980018,0.00006865715,0.000003349535,0.0001739338],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.09375319,"threshold_uncertainty_score":0.3136356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1606256482653309,"score_gpt":0.574075156593538,"score_spread":0.4134495083282071,"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."}}