{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02175335,0.0006481048,0.001268885,0.001429335,0.01359637,0.007615997,0.002971824,0.005077136,0.006804437],"category_scores_gemma":[0.06829033,0.0009991884,0.0006617741,0.001295695,0.01020879,0.00712006,0.008935214,0.009297263,0.0006827781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006522638,"about_ca_system_score_gemma":0.007840737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318008,"about_ca_topic_score_gemma":0.01945535,"domain_scores_codex":[0.9642852,0.02884708,0.00091314,0.00108472,0.001786838,0.003083063],"domain_scores_gemma":[0.9124875,0.06669328,0.004621333,0.001364565,0.005428364,0.009404954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006893544,0.0001029623,0.00370724,0.000116223,0.0000116001,0.0006702312,0.9905968,0.00003066788,0.0004093441,0.0009487927,0.0008673387,0.002469951],"study_design_scores_gemma":[0.0000136439,0.00007792057,0.001244942,0.0001062506,0.000009965693,0.0002796386,0.9935144,0.0001139212,0.0001157619,0.0003242071,0.004171933,0.00002727769],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823136,0.0004568062,0.002054947,0.00849888,0.0001687154,0.00013437,0.0001297653,0.00005714275,0.006185706],"genre_scores_gemma":[0.9952896,0.0001995788,0.0006840987,0.002303401,0.00002972999,0.000141891,0.00003199714,0.00004763565,0.001272193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02175335,"threshold_uncertainty_score":0.1150441,"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."}}