{"id":"W4315619135","doi":"10.1007/s00439-022-02512-2","title":"Finding the sweet spot: a qualitative study exploring patients’ acceptability of chatbots in genetic service delivery","year":2023,"lang":"en","type":"article","venue":"Human Genetics","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; University Health Network; SickKids Foundation; University of Toronto; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; McLaughlin Centre, University of Toronto","keywords":"Chatbot; Thematic analysis; Qualitative research; Conversation; Applied psychology; Medical education; Psychology; Nursing; World Wide Web; Computer science; Medicine","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":[0.0007291557,0.0001815537,0.000231469,0.000281524,0.000266164,0.00005012748,0.0008264227,0.00004152173,0.0001850185],"category_scores_gemma":[0.000240933,0.000158455,0.00005213725,0.001673054,0.0001526115,0.0001076834,0.0007210199,0.0002715939,0.00009913686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008170309,"about_ca_system_score_gemma":0.00005061114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002713924,"about_ca_topic_score_gemma":0.00128337,"domain_scores_codex":[0.9967729,0.0009148359,0.0004928285,0.0005383266,0.000761308,0.0005198059],"domain_scores_gemma":[0.9985336,0.0005706565,0.0001347671,0.0006558333,0.00004263546,0.00006252922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006086511,0.001207276,0.4178425,0.000151446,0.00001817056,0.00003356433,0.5576643,0.002065996,0.0157151,0.0006813072,0.00002580004,0.0045337],"study_design_scores_gemma":[0.0007692155,0.0002970975,0.9480978,0.00001180638,0.000008004299,3.411143e-7,0.03455432,0.0008048146,0.0130164,0.00225181,0.0000199909,0.0001683534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982877,0.00003973812,0.000005649086,0.0001828261,0.0001002713,0.001082202,0.00001875616,0.0000572558,0.0002255999],"genre_scores_gemma":[0.9995716,0.00006616367,0.00003109147,0.00004710837,0.00002106928,0.0001825449,0.000003205757,0.00003555957,0.00004172104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5302553,"threshold_uncertainty_score":0.6461607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2366881852346031,"score_gpt":0.399751767596448,"score_spread":0.1630635823618448,"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."}}