{"id":"W4225125727","doi":"10.1145/3491102.3501871","title":"The Sound of Hallucinations: Toward a more convincing emulation of internalized voices","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emulation; Human–computer interaction; Computer science; Set (abstract data type); Avatar; Context (archaeology); Usability; Multimedia; Psychology","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":[0.001937241,0.0005650505,0.0002719155,0.0004058617,0.0002784642,0.001564261,0.001109872,0.001005963,0.00640913],"category_scores_gemma":[0.00765249,0.0002520067,0.0003229072,0.0001157,0.001294511,0.002218941,0.00321045,0.0007545962,0.001061202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960723,"about_ca_system_score_gemma":0.0003059965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003610771,"about_ca_topic_score_gemma":0.0004248474,"domain_scores_codex":[0.9992536,0.0003850156,0.00003410004,0.00007916665,0.0002026258,0.00004558457],"domain_scores_gemma":[0.9980969,0.001293532,0.0000871756,0.0002092361,0.0001573599,0.0001557508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001660064,0.0005635771,0.001830573,0.0009238204,0.00006993524,0.001266005,0.01524672,0.01752133,0.5652447,0.03333595,0.004821927,0.3575154],"study_design_scores_gemma":[0.001497737,0.005824802,0.007045064,0.0008042823,0.0002482474,0.005115639,0.008022554,0.4316243,0.3349805,0.03785771,0.1665231,0.0004560645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1911594,0.0003558674,0.7904174,0.0008096543,0.0001295315,0.0005191319,0.0001096386,0.005601333,0.01089808],"genre_scores_gemma":[0.556789,0.0003255174,0.4358305,0.0003882087,0.00004920256,0.0003032585,0.0001533049,0.000483495,0.005677619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00640913,"threshold_uncertainty_score":0.02144068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09602361023613347,"score_gpt":0.3346197878443067,"score_spread":0.2385961776081732,"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."}}