{"id":"W1976584601","doi":"10.2196/mhealth.3779","title":"Translating Behavioral Interventions Onto mHealth Platforms: Developing Text Message Interventions for Smoking and Alcohol","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"mHealth; Psychological intervention; Text message; Text messaging; Psychology; Medicine; Computer science; Clinical psychology; Applied psychology; Internet privacy; Psychiatry","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":[0.02520528,0.001038037,0.0005601381,0.00143679,0.00108636,0.00254622,0.001808061,0.001686666,0.007226651],"category_scores_gemma":[0.03949127,0.0006739519,0.00145659,0.0007595703,0.001427403,0.002679098,0.002734625,0.001744019,0.002079188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522243,"about_ca_system_score_gemma":0.005783555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387782,"about_ca_topic_score_gemma":0.00193475,"domain_scores_codex":[0.9895557,0.00761598,0.0007866011,0.0003814172,0.001317708,0.0003426996],"domain_scores_gemma":[0.9869521,0.01086665,0.0004893268,0.0004543274,0.0009167502,0.0003208752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001893775,0.0009884866,0.001075046,0.0107585,0.00009915764,0.0004137735,0.02287022,0.001559248,0.01928557,0.009380941,0.01179472,0.921585],"study_design_scores_gemma":[0.001690395,0.009842435,0.01292622,0.03776392,0.001172167,0.001535021,0.03733909,0.01408678,0.1347966,0.04698711,0.7014364,0.0004237777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1349673,0.01285168,0.7104451,0.02327645,0.002441044,0.04157764,0.001439448,0.006518502,0.0664829],"genre_scores_gemma":[0.07868607,0.009188429,0.8906629,0.002262293,0.0001284955,0.01257045,0.0003000233,0.0003272785,0.00587404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02520528,"threshold_uncertainty_score":0.1332999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3799720800718281,"score_gpt":0.5569258031910803,"score_spread":0.1769537231192522,"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."}}