{"id":"W4406409537","doi":"10.1177/20552076241309228","title":"Text messaging to improve connection between adolescents and their health care providers","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"","keywords":"Connection (principal bundle); Internet privacy; Text messaging; Health care; Computer science; Psychology; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260985,0.0003069917,0.0001552541,0.0003794744,0.0002917053,0.0004876254,0.0004131061,0.0004342472,0.007325916],"category_scores_gemma":[0.005970383,0.0000977318,0.000258937,0.0001746965,0.00011592,0.0005521746,0.0006025138,0.0005367399,0.0007547649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605835,"about_ca_system_score_gemma":0.0004549192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003227542,"about_ca_topic_score_gemma":0.0006180344,"domain_scores_codex":[0.9991556,0.0005283204,0.00005784399,0.000050915,0.0001311833,0.0000760477],"domain_scores_gemma":[0.9968454,0.001966404,0.0006023609,0.00008592982,0.0001885009,0.0003114264],"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":[0.001352752,0.005896052,0.03884122,0.001815987,0.0001001408,0.0006897724,0.004830163,0.000539869,0.01984715,0.0005216656,0.01453398,0.9110314],"study_design_scores_gemma":[0.006645636,0.0678188,0.5932069,0.006068922,0.001194504,0.004371762,0.01440324,0.01632808,0.05717281,0.003960147,0.228595,0.0002341116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657421,0.001781511,0.01073713,0.003838396,0.0005871203,0.001483258,0.0003371695,0.0008153777,0.01467788],"genre_scores_gemma":[0.9578382,0.001185021,0.0343073,0.0009196652,0.0004146932,0.001131425,0.000237271,0.00004992235,0.003916448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007325916,"threshold_uncertainty_score":0.02450764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126845843530212,"score_gpt":0.3985673341312313,"score_spread":0.3672988756959292,"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."}}