{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006434089,0.0003250898,0.0006571448,0.0003384857,0.001564583,0.00006593705,0.0001831793,0.0002074588,0.00000708155],"category_scores_gemma":[0.0001796936,0.0002843627,0.00007273446,0.0005965968,0.00004513302,0.0003234246,0.0002349339,0.0008757434,0.00007985961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107055,"about_ca_system_score_gemma":0.003169823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880911,"about_ca_topic_score_gemma":0.0006675213,"domain_scores_codex":[0.9964417,0.0003958951,0.000987817,0.0006758224,0.0002219898,0.001276769],"domain_scores_gemma":[0.9978943,0.0002824332,0.0003414314,0.000386999,0.0002002269,0.0008945426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007482189,0.0000386779,0.5539958,0.007347029,0.00001624716,6.372685e-7,0.01457035,5.686068e-7,9.391162e-7,0.0005723801,0.02032781,0.4030547],"study_design_scores_gemma":[0.003031211,0.0009094375,0.6269009,0.005539008,0.00001380997,0.00000122925,0.1006259,0.0000365272,0.00001070389,0.0007256132,0.2615434,0.0006622572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7016847,0.01314735,0.009636479,0.2276899,0.004609364,0.01771484,0.00235773,0.001461812,0.0216979],"genre_scores_gemma":[0.9770542,0.0001562833,0.00005884002,0.02106272,0.0005190715,0.00008859319,0.0001915108,0.00004257957,0.0008261714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4023924,"threshold_uncertainty_score":0.9999608,"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."}}