{"id":"W4211185620","doi":"10.2196/29499","title":"Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint","year":2022,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Burnout; Digital health; Telehealth; Telemedicine; Health care; Risk analysis (engineering); Medicine; Computer science; Nursing; Psychology; Applied psychology; Clinical psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001413116,0.0002050756,0.0002468411,0.0002631671,0.0002940789,0.00002708473,0.0001557859,0.00005431659,0.003147142],"category_scores_gemma":[0.00001310529,0.0001903604,0.0001116441,0.0005369478,0.00007185314,0.0000853737,0.00009533304,0.0004045033,0.00006102477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184713,"about_ca_system_score_gemma":0.0000725455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577474,"about_ca_topic_score_gemma":0.00004060125,"domain_scores_codex":[0.9984332,0.00006284327,0.0003639591,0.0003493203,0.0002995477,0.0004911591],"domain_scores_gemma":[0.9993116,0.00006347893,0.0001000786,0.0002348074,0.0000133845,0.0002766176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000718764,0.01266607,0.01388511,0.002656843,0.003743847,0.002947048,0.0262248,0.7832891,0.02171241,0.01697095,0.004878788,0.1103063],"study_design_scores_gemma":[0.009202039,0.01879355,0.03421254,0.001352634,0.0002685201,0.002474473,0.001947346,0.6211392,0.0008141361,0.0001179323,0.3077408,0.001936803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929674,0.0007679777,0.001753736,0.001043244,0.001295688,0.0008462222,0.0001405959,0.0004090986,0.0007760947],"genre_scores_gemma":[0.9964069,0.000002138761,0.0002525197,0.00002310217,0.0002195588,0.001049949,0.0002659066,0.0000592851,0.00172071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.302862,"threshold_uncertainty_score":0.9977641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685115601007447,"score_gpt":0.3266057270077298,"score_spread":0.3097545709976553,"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."}}