{"id":"W4408700593","doi":"10.2196/65848","title":"Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Medicine; World Wide Web; Computer science","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":[0.0001586388,0.0001461129,0.0002123513,0.00010965,0.00009034509,0.00001771197,0.0002153233,0.0000805062,0.00003146895],"category_scores_gemma":[0.00004043146,0.0001166226,0.0001664396,0.0002429848,0.00004797861,0.00006894622,0.00004441399,0.0001106105,0.000001425983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619963,"about_ca_system_score_gemma":0.0001266034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113351,"about_ca_topic_score_gemma":0.0003614997,"domain_scores_codex":[0.9987905,0.00002074048,0.0004355076,0.0003096602,0.0001001056,0.0003434801],"domain_scores_gemma":[0.9990892,0.0003366465,0.0001568679,0.0002576835,0.0001254871,0.00003407459],"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":[0.009133894,0.00115435,0.002368748,0.007274592,0.003975639,0.00002456259,0.009124333,0.001840459,0.0006303936,0.01121628,0.3614376,0.5918192],"study_design_scores_gemma":[0.02844792,0.008588474,0.4531305,0.03060375,0.001404148,0.0001031397,0.00660741,0.03259357,0.0180154,0.003983309,0.414176,0.002346313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693334,0.09231509,0.0761864,0.05742116,0.04261278,0.08548609,0.0540642,0.0008911011,0.02168977],"genre_scores_gemma":[0.9586235,0.0000250636,0.001954169,0.000370835,0.0003684799,0.02704264,0.00005400839,0.00004753383,0.0115138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5894728,"threshold_uncertainty_score":0.4755732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05523665990685044,"score_gpt":0.4294623364491569,"score_spread":0.3742256765423065,"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."}}