{"id":"W2198062004","doi":"10.2196/mhealth.4917","title":"Developing and Pretesting a Text Messaging Program for Health Behavior Change: Recommended Steps","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Text messaging; Short Message Service; Computer science; Formative assessment; Text message; mHealth; Behavior change; Process (computing); World Wide Web; Multimedia; Psychology; Medicine; Nursing","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":[0.09480738,0.006464705,0.004717382,0.006993754,0.007994893,0.003695349,0.008682197,0.009746072,0.02890922],"category_scores_gemma":[0.2050541,0.005532404,0.006548434,0.004355937,0.002208797,0.009934252,0.005793063,0.008528019,0.01755504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00536593,"about_ca_system_score_gemma":0.05070362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817923,"about_ca_topic_score_gemma":0.05301778,"domain_scores_codex":[0.9395143,0.0353466,0.00953487,0.00171718,0.01113331,0.002753624],"domain_scores_gemma":[0.772868,0.09459535,0.01454839,0.01614199,0.0879702,0.01387612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009929767,0.01300021,0.007181164,0.01689627,0.0002332964,0.0009353943,0.01153835,0.001819719,0.004295737,0.001950855,0.1340812,0.8070748],"study_design_scores_gemma":[0.01579801,0.03925623,0.1424409,0.1120776,0.002746406,0.003643778,0.04062418,0.01491254,0.03347205,0.03871731,0.5538657,0.00244527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.02997664,0.00526633,0.2262248,0.0384505,0.003185369,0.6368105,0.005576906,0.01860704,0.03590197],"genre_scores_gemma":[0.01137366,0.00236239,0.7889517,0.003395127,0.0001736989,0.1887559,0.001154666,0.0002407696,0.003592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09480738,"threshold_uncertainty_score":0.5013953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3387848209050272,"score_gpt":0.5563832973269864,"score_spread":0.2175984764219593,"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."}}