{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001988984,0.0004325599,0.0004130455,0.001046359,0.0008124483,0.002936084,0.0008047156,0.002043092,0.002923504],"category_scores_gemma":[0.005868651,0.0001736408,0.0004580437,0.0003605302,0.002049197,0.002837793,0.001216706,0.003101171,0.000287326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195804,"about_ca_system_score_gemma":0.001683182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020256,"about_ca_topic_score_gemma":0.003672507,"domain_scores_codex":[0.9990065,0.0005970641,0.00003056424,0.00009228607,0.0001811387,0.00009243457],"domain_scores_gemma":[0.9971668,0.001873743,0.0002235739,0.0001292796,0.0003600198,0.0002464441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002507055,0.001475337,0.03717723,0.00150309,0.000270283,0.000480681,0.002076122,0.02423287,0.001671504,0.6316087,0.0402467,0.2590068],"study_design_scores_gemma":[0.0001337018,0.0009372865,0.02183013,0.002901356,0.000212126,0.0007119743,0.004177365,0.1221761,0.002126502,0.7623325,0.08234833,0.0001126053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1244255,0.04661832,0.08114976,0.6539916,0.00213587,0.0001671155,0.0004284527,0.0001362541,0.09094715],"genre_scores_gemma":[0.9364756,0.01747925,0.01788036,0.01950037,0.003124161,0.0001627447,0.0001084551,0.00003353163,0.005235504],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.003020256,"threshold_uncertainty_score":0.01420665,"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."}}