{"id":"W4400396858","doi":"10.1145/3640794.3665552","title":"Understanding User Preferences of Voice Assistant Answer Structures for Personal Health Data Queries","year":2024,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; World Wide Web; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002398315,0.00009843685,0.0001344024,0.00008937855,0.000127694,0.0002905113,0.0008416438,0.00003235056,0.00009127877],"category_scores_gemma":[0.00002867449,0.00007426318,0.00003875241,0.0002271245,0.00004890641,0.001244659,0.0003032465,0.00009884828,0.000004578115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102912,"about_ca_system_score_gemma":0.0003283758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000313005,"about_ca_topic_score_gemma":0.001895855,"domain_scores_codex":[0.9989305,0.00003388498,0.0002310881,0.0003907387,0.0002258775,0.0001879034],"domain_scores_gemma":[0.9990667,0.0003382337,0.00006547699,0.0004219456,0.00005439504,0.00005323223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001532419,0.00003077856,0.0003374668,0.000460986,0.0001280755,0.000001916762,0.007922133,0.00001664128,0.0002751849,0.9284905,0.05804274,0.004278284],"study_design_scores_gemma":[0.0002792235,0.0004475268,0.002284024,0.0004683247,0.00003849417,0.00004456968,0.01393173,0.6945249,0.00122489,0.1273915,0.158845,0.0005197604],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00215493,0.0003971205,0.9885595,0.006355518,0.001060365,0.0001596679,0.0001798092,0.0001594704,0.0009736393],"genre_scores_gemma":[0.9079458,0.00002913085,0.09071545,0.0003781996,0.00008605525,0.000008516381,0.00003242492,0.000009263485,0.0007951345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9057909,"threshold_uncertainty_score":0.3028365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.302481566721192,"score_gpt":0.3894274821613784,"score_spread":0.08694591544018637,"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."}}