{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007162623,0.001025807,0.0004024386,0.0007697787,0.001106583,0.001035938,0.001663635,0.001191702,0.01070987],"category_scores_gemma":[0.02307645,0.0003238429,0.0004044239,0.0003079468,0.0008773918,0.001343134,0.002513903,0.001156683,0.002873492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324964,"about_ca_system_score_gemma":0.002429663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001546,"about_ca_topic_score_gemma":0.00263748,"domain_scores_codex":[0.996217,0.002501439,0.0001712894,0.0004496851,0.000387349,0.0002732894],"domain_scores_gemma":[0.9747649,0.01877462,0.0009294824,0.001081442,0.002292398,0.002157117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004927339,0.01090286,0.0349657,0.003795035,0.0001068744,0.004335211,0.02749099,0.01308181,0.06943031,0.003527854,0.07886564,0.7485703],"study_design_scores_gemma":[0.002975125,0.03037536,0.10503,0.002530696,0.0007500796,0.008863145,0.03273563,0.379399,0.142645,0.01212383,0.2816701,0.0009021886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7601254,0.0005108603,0.1785841,0.002940709,0.0003620207,0.007495005,0.001960852,0.03209899,0.01592216],"genre_scores_gemma":[0.7022467,0.0003113438,0.272757,0.001207068,0.00009008859,0.004658062,0.002459913,0.0006456336,0.01562421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01070987,"threshold_uncertainty_score":0.03788,"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."}}