{"id":"W2895936301","doi":"10.1093/pubmed/fdy172","title":"mHealth use for non-communicable diseases care in primary health: patients’ perspective from rural settings and refugee camps","year":2018,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario; York University","funders":"International Development Research Centre","keywords":"Refugee; mHealth; Medicine; Focus group; Non-communicable disease; Psychological intervention; Environmental health; Intervention (counseling); Population; Gerontology; Qualitative research; Public health; Family medicine; Nursing; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004444182,0.0003259752,0.001341939,0.0005977644,0.002252542,0.00005431071,0.0004773072,0.0002631141,0.00005826411],"category_scores_gemma":[0.001772516,0.0002886475,0.000125912,0.0006071073,0.000207569,0.000773727,0.0001940858,0.001513068,0.00001613913],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005763181,"about_ca_system_score_gemma":0.0185819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009985417,"about_ca_topic_score_gemma":0.005811705,"domain_scores_codex":[0.9922674,0.001929498,0.002876715,0.0004556199,0.0005502949,0.001920426],"domain_scores_gemma":[0.9889743,0.002080673,0.00308169,0.000709602,0.002452134,0.002701609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000955363,0.001151515,0.6053355,0.004619289,0.00006664879,0.000001903038,0.05296608,0.000001426328,0.000004477945,0.004703201,0.1746453,0.1555493],"study_design_scores_gemma":[0.005218572,0.002200355,0.5578104,0.0006934287,0.00001399196,0.000003126326,0.02053561,0.0000409688,2.6472e-7,0.0009449194,0.4123478,0.0001905318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213513,0.0131037,0.001734321,0.1500987,0.001703584,0.009644747,0.001834876,0.00009279946,0.0004359563],"genre_scores_gemma":[0.8740938,0.01211961,0.01518634,0.09350719,0.002466771,0.00170999,0.0006465571,0.0001352624,0.0001345172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377025,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622576574344573,"score_gpt":0.4233876281125556,"score_spread":0.3671618623691099,"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."}}