{"id":"W4360793274","doi":"10.2196/42983","title":"Increasing Participation in a TelePrEP Program for Sexual and Gender Minority Adolescents and Young Adults in Louisiana: Protocol for an SMS Text Messaging–Based Chatbot","year":2023,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Minority Health and Health Disparities; National Institute of Child Health and Human Development; National Institute of Mental Health; National Institutes of Health","keywords":"Chatbot; Reproductive health; Medicine; Conceptualization; Public health; Short Message Service; Computer science; Nursing; Medical education; Psychology; World Wide Web; Population; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00342155,0.0001935644,0.0002530486,0.0005869855,0.0001790872,0.0002036437,0.0001974998,0.0001474137,0.0000142172],"category_scores_gemma":[0.0003320324,0.0001950694,0.00003759016,0.0006989912,0.0001715753,0.0003745858,0.000133777,0.0003393271,0.00001184722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784737,"about_ca_system_score_gemma":0.0001094384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004679655,"about_ca_topic_score_gemma":0.001797404,"domain_scores_codex":[0.9964135,0.0007479903,0.0006220255,0.0007652692,0.0003781229,0.001073081],"domain_scores_gemma":[0.9988208,0.0002562824,0.0001166862,0.0003503592,0.0001797526,0.0002760759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01293173,0.009745614,0.7037277,0.01676811,0.00001646625,0.0000259489,0.002418695,0.00000201836,0.0001247184,0.0007731952,0.001018097,0.2524477],"study_design_scores_gemma":[0.01628638,0.007951461,0.9599232,0.003253658,0.000002021365,0.000007403915,0.0007744126,0.005891369,0.0001172615,0.002069926,0.0034451,0.0002778212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2252884,7.306045e-7,0.0000261269,0.0001125365,0.000008463634,0.7741085,0.0000449439,0.0000942273,0.0003159859],"genre_scores_gemma":[0.363207,7.952702e-9,0.0003501073,0.00001452938,0.00003303976,0.6362336,0.00002816953,0.00002765593,0.0001059453],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2561955,"threshold_uncertainty_score":0.79547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3783109611284888,"score_gpt":0.6383106210956844,"score_spread":0.2599996599671956,"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."}}