{"id":"W2553105800","doi":"10.2196/mhealth.5996","title":"Design Considerations in Development of a Mobile Health Intervention Program: The TEXT ME and TEXTMEDS Experience","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Computer science; Personalization; Operationalization; Short Message Service; Flexibility (engineering); Health care; Process management; Knowledge management; World Wide Web; Engineering","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":[0.05408726,0.0008360962,0.0005153273,0.001050571,0.003757905,0.006601425,0.002779127,0.004696999,0.0112873],"category_scores_gemma":[0.04831322,0.0008603368,0.0007666511,0.0004893165,0.006130812,0.008464043,0.005766897,0.004337511,0.00207746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002565801,"about_ca_system_score_gemma":0.004315473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077451,"about_ca_topic_score_gemma":0.002003916,"domain_scores_codex":[0.9598324,0.03435935,0.001183838,0.001184211,0.002020485,0.001419787],"domain_scores_gemma":[0.9678418,0.02665693,0.0007976618,0.0008266042,0.001236146,0.002640813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009224548,0.004589609,0.01461213,0.004798184,0.00007032689,0.005246751,0.4881415,0.001447963,0.01246447,0.03699412,0.02372016,0.4069923],"study_design_scores_gemma":[0.001406219,0.01422887,0.01699098,0.00551587,0.0002721042,0.009425859,0.3385366,0.005853643,0.01512438,0.03927666,0.5528805,0.0004882988],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6248634,0.005367178,0.1700632,0.09642257,0.001375412,0.008135878,0.0003309114,0.001235716,0.09220564],"genre_scores_gemma":[0.6308688,0.003475993,0.3252326,0.01433851,0.0003598095,0.005311735,0.0001556755,0.0004453868,0.01981153],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05408726,"threshold_uncertainty_score":0.2860441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340242215753114,"score_gpt":0.4987248963510035,"score_spread":0.3647006747756921,"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."}}