{"id":"W4402356392","doi":"10.2196/57328","title":"The Development of Heart Failure Electronic-Message Driven Tips to Support Self-Management: Co-Design Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Preprint; Heart failure; Key (lock); Medicine; Digital health; Patient education; Self-management; Intensive care medicine; Health care; Medical emergency; Nursing; Computer science; Political science; Computer security; World Wide Web; Cardiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008913163,0.0002592365,0.0004080459,0.0002024786,0.0002221795,0.00008237746,0.0001250291,0.00005336778,0.00008199843],"category_scores_gemma":[0.000005608564,0.0001765935,0.0001866831,0.0004094742,0.00002408106,0.00007076171,0.0001257841,0.0001905052,0.0004520016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003217146,"about_ca_system_score_gemma":0.0002773602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001065653,"about_ca_topic_score_gemma":0.00009325436,"domain_scores_codex":[0.9979433,0.000121972,0.000413047,0.0004420688,0.0005495935,0.000530012],"domain_scores_gemma":[0.9990847,0.00008276089,0.00003121312,0.0005714113,0.00005657692,0.0001733014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002682805,0.001263875,0.004946509,0.0007113207,0.008829099,0.01609828,0.02333257,0.00003959096,0.0003322444,0.001074633,0.8993441,0.04375945],"study_design_scores_gemma":[0.001137428,0.001067858,0.001246811,0.00005960315,0.0005373429,0.0005430608,0.006874838,0.00002869946,0.0004435009,0.000007628827,0.9878635,0.0001896972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640426,0.00138675,0.01585692,0.02204725,0.001118604,0.04661727,0.00002985452,0.002598203,0.04630255],"genre_scores_gemma":[0.9852133,0.00001441095,0.007853243,0.0001137877,0.0001026505,0.001133216,0.00001465918,0.00004751454,0.005507216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211707,"threshold_uncertainty_score":0.7201275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786294517718824,"score_gpt":0.3101779241241885,"score_spread":0.2923149789470003,"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."}}