{"id":"W4383094248","doi":"10.2196/49407","title":"mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; mHealth; Limited resources; Diabetes mellitus; Resource (disambiguation); Medicine; Computer science; Intensive care medicine; Risk analysis (engineering); Nursing; Machine learning; Psychological intervention","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":[0.005707858,0.001141272,0.001138372,0.002161401,0.000999109,0.001758093,0.002369779,0.002038977,0.00528681],"category_scores_gemma":[0.009220637,0.0007824897,0.002774082,0.00186898,0.0006322324,0.001347126,0.00152487,0.002211129,0.0004740802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003004464,"about_ca_system_score_gemma":0.004146748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03642874,"about_ca_topic_score_gemma":0.02216777,"domain_scores_codex":[0.9969828,0.002139999,0.00009808726,0.0003180319,0.0001945778,0.000266584],"domain_scores_gemma":[0.9945679,0.004132839,0.0004684987,0.0001283614,0.0005318655,0.0001705079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009194048,0.002722548,0.5169688,0.0004671628,0.002116155,0.00113165,0.005936339,0.3955327,0.000774201,0.02688903,0.00703853,0.03950344],"study_design_scores_gemma":[0.0001375972,0.0004201541,0.02685148,0.0001207467,0.0002797642,0.00009493784,0.001352587,0.9650909,0.00009073627,0.004535741,0.0009890193,0.00003625613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919669,0.0007762634,0.0916982,0.005646944,0.0001801178,0.001150508,0.003037012,0.0003443378,0.005199835],"genre_scores_gemma":[0.970138,0.000348173,0.02486318,0.0001867101,0.00004052862,0.001328314,0.001344565,0.00001666082,0.00173381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642874,"threshold_uncertainty_score":0.07243341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045710260399335,"score_gpt":0.5055776628931457,"score_spread":0.3010066368532121,"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."}}