{"id":"W4402364785","doi":"10.1016/j.tics.2024.08.005","title":"Tracking dynamic social impressions from multidimensional voice representation","year":2024,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Representation (politics); Cognitive psychology; Cognitive science; Tracking (education); Communication","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007270158,0.0003934589,0.0008993376,0.001151605,0.0003672044,0.00043621,0.001031264,0.0002440949,0.00005185803],"category_scores_gemma":[0.000225874,0.0002886865,0.0003969009,0.003459687,0.0003398024,0.000665237,0.0004779405,0.0004945574,0.0002963277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207733,"about_ca_system_score_gemma":0.0003998803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003668763,"about_ca_topic_score_gemma":0.0003283966,"domain_scores_codex":[0.9962403,0.0004626426,0.0006603925,0.001419176,0.00075129,0.0004662097],"domain_scores_gemma":[0.9981261,0.001142392,0.000322949,0.0002303063,0.00008464114,0.00009361056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001366813,0.00003330154,0.000006813381,0.000135519,0.00003057256,0.00005591604,0.0006221181,6.19087e-7,0.000002773661,0.0003495444,0.0003792924,0.9983822],"study_design_scores_gemma":[0.004387584,0.0009167978,0.006629411,0.1723475,0.004216694,0.000476696,0.005100396,0.06354938,0.0001280173,0.03731859,0.6950472,0.009881762],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005972938,0.989565,0.002507187,0.0001025852,0.00234806,0.0002593636,0.0002824908,0.0001705042,0.004705082],"genre_scores_gemma":[0.008146469,0.9844955,0.004904362,0.00007272133,0.0006929592,0.0002397597,0.0005037845,0.00004068204,0.0009037345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9885004,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2971147175042216,"score_gpt":0.4986432559090292,"score_spread":0.2015285384048076,"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."}}