{"id":"W2758459535","doi":"10.2196/iproc.8457","title":"Engaging Heart Failure Patients with Interactive Voice Response Calls and Multimedia Programs as They Transition from Hospital to Home","year":2017,"lang":"en","type":"article","venue":"Iproceedings","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heart failure; Transition (genetics); Interactive voice response; Medicine; Medical emergency; Multimedia; Psychology; Computer science; Internal medicine; Telecommunications","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":[0.002912155,0.0003050097,0.0002599172,0.0005141745,0.0007230296,0.0009093821,0.0005377021,0.0005783326,0.005693752],"category_scores_gemma":[0.01464085,0.0001693864,0.0004002673,0.0003880607,0.0003592233,0.0007174074,0.001356829,0.0006428861,0.0008319368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004534048,"about_ca_system_score_gemma":0.0008200887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006522671,"about_ca_topic_score_gemma":0.002126417,"domain_scores_codex":[0.9976074,0.001562243,0.0001635471,0.0001539165,0.0002522756,0.0002606817],"domain_scores_gemma":[0.9910753,0.004950215,0.001672513,0.0003909243,0.0005577093,0.001353352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002099639,0.005836622,0.3663734,0.001452623,0.000208761,0.0008748731,0.03846493,0.0006083932,0.004503579,0.0002375792,0.01686688,0.5624728],"study_design_scores_gemma":[0.000776677,0.02024647,0.8344228,0.001064781,0.0004473048,0.001671676,0.07893584,0.001722898,0.004680348,0.0006592097,0.05519458,0.0001774755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929678,0.0002496251,0.0006969122,0.0008150499,0.00004019358,0.0002997319,0.0002407231,0.0001866921,0.004503151],"genre_scores_gemma":[0.9915421,0.0004913643,0.004567119,0.0009804047,0.0001240763,0.0007073419,0.0002870994,0.00002588057,0.001274529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005693752,"threshold_uncertainty_score":0.01904756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007465442513705451,"score_gpt":0.2511505259149428,"score_spread":0.2436850834012373,"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."}}