{"id":"W4406369596","doi":"10.1121/10.0035090","title":"Effect of non-human avatars on opinion convergence in remote spoken interactions","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Convergence (economics); Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003600878,0.0004040978,0.000437841,0.0003702937,0.0006076574,0.001461589,0.0003466721,0.000546351,0.005812667],"category_scores_gemma":[0.03922925,0.0001758331,0.0002982236,0.0001383844,0.0006019535,0.0008890943,0.001371358,0.0006365952,0.0005430873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349603,"about_ca_system_score_gemma":0.0001403482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004339069,"about_ca_topic_score_gemma":0.0004618493,"domain_scores_codex":[0.9957912,0.003183878,0.0002195498,0.0002968497,0.0003556925,0.0001528333],"domain_scores_gemma":[0.9570661,0.03704299,0.002486686,0.0007821993,0.00148423,0.001137793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02967217,0.004939387,0.227709,0.002678119,0.0004705473,0.002555881,0.1697251,0.001958046,0.3718566,0.001420341,0.001201503,0.1858131],"study_design_scores_gemma":[0.0007915004,0.02462305,0.8059369,0.0004099541,0.0007848336,0.001381259,0.06505215,0.01420024,0.07835537,0.001972436,0.006282391,0.00021003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975792,0.00005230582,0.0005159469,0.00003277016,0.00001445161,0.00002851417,0.00001767964,0.000015234,0.001743913],"genre_scores_gemma":[0.9984922,0.00004153194,0.0008568497,0.00002602346,0.00001110179,0.00006221041,0.00002906002,0.00001026404,0.0004708042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005812667,"threshold_uncertainty_score":0.01944536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892912853302612,"score_gpt":0.3836742653072522,"score_spread":0.3647451367742261,"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."}}