{"id":"W4296500587","doi":"10.1016/j.procs.2022.09.086","title":"System design of a text messaging program to support the mental health needs of non-treatment seeking young adults","year":2022,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institute of Mental Health; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Mobile phone; Mental health; Intervention (counseling); Computer science; Phone; Text messaging; Feature (linguistics); Multimedia; Applied psychology; Internet privacy; Psychology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001215803,0.000140525,0.0002401155,0.0003098851,0.000458955,0.00004898739,0.0006684734,0.0000126563,0.00002030782],"category_scores_gemma":[0.000005451164,0.0001111726,0.00007527273,0.001482292,0.0001839055,0.0001562615,0.0004844687,0.00008916749,0.00001681795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005843996,"about_ca_system_score_gemma":0.0004046723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002831664,"about_ca_topic_score_gemma":0.000006166466,"domain_scores_codex":[0.997929,0.0001037752,0.0005649552,0.0003439198,0.0005496835,0.0005086505],"domain_scores_gemma":[0.9989778,0.00005463357,0.0003368015,0.0003643121,0.00009274435,0.0001736712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002800799,0.003271927,0.00805677,0.0008083781,0.00008176742,0.00001469807,0.1193745,0.001344278,0.0001976881,0.005775966,0.002498203,0.8582957],"study_design_scores_gemma":[0.01092059,0.1634187,0.0693317,0.005578971,0.0001290805,0.004433298,0.108295,0.6175897,0.007852513,0.0002781793,0.009870624,0.00230154],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7503097,0.0004648794,0.2131241,0.005353676,0.009739411,0.01429105,0.0002208319,0.0004474434,0.006048865],"genre_scores_gemma":[0.9915457,5.914704e-7,0.007517173,0.0001894775,0.0000295098,0.0005598788,0.000004738388,0.00001290758,0.0001400395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8559942,"threshold_uncertainty_score":0.4533488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287821792266322,"score_gpt":0.3594772675944596,"score_spread":0.3265990496717964,"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."}}