{"id":"W3214855322","doi":"10.2196/30052","title":"eDOL mHealth App and Web Platform for Self-monitoring and Medical Follow-up of Patients With Chronic Pain: Observational Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Observational study; Medicine; Chronic pain; Quality of life (healthcare); Physical therapy; Population; Telemedicine; Psychological intervention; Health care; Smartphone app; Self-management; Nursing; Internal medicine; World Wide Web","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":[0.006296492,0.0007181495,0.001141302,0.001146303,0.001831125,0.0009902376,0.000598229,0.00115473,0.003180477],"category_scores_gemma":[0.01023315,0.0007431779,0.001623289,0.0006708621,0.000896264,0.001543623,0.001543901,0.002202087,0.001013843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033992,"about_ca_system_score_gemma":0.002921432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227955,"about_ca_topic_score_gemma":0.00590214,"domain_scores_codex":[0.9962087,0.001752245,0.0004852427,0.0004249168,0.0006438188,0.0004850891],"domain_scores_gemma":[0.9910507,0.002816314,0.001994697,0.0006904051,0.001909621,0.001538185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02475083,0.2164405,0.6573642,0.002431596,0.001074729,0.001460013,0.01023739,0.0004374834,0.002715607,0.0002571474,0.005090058,0.07774047],"study_design_scores_gemma":[0.01476074,0.1861075,0.7727543,0.0006493109,0.0009113353,0.001396563,0.01131378,0.001782096,0.00115546,0.0002572958,0.008636618,0.0002749721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895456,0.0003077116,0.0005748053,0.0001441407,0.00003402108,0.007747982,0.0008440691,0.00001824165,0.0007833748],"genre_scores_gemma":[0.9672979,0.0006648257,0.005144182,0.0009909786,0.0001642907,0.02352136,0.001312329,0.00001777477,0.000886408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006296492,"threshold_uncertainty_score":0.03329939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.176920204719095,"score_gpt":0.5192398341349996,"score_spread":0.3423196294159047,"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."}}