{"id":"W2387787538","doi":"10.1115/1.4033226","title":"Affective Voice Recognition of Older Adults1","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Devices","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loneliness; Psychology; Facial expression; Affect (linguistics); Intonation (linguistics); Body language; Social isolation; Cognition; Cognitive psychology; Social robot; Social relation; Robot; Computer science; Social psychology; Communication; Artificial intelligence; Psychotherapist; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002123349,0.0002962744,0.0002291945,0.000481731,0.0001054496,0.0003934503,0.0001542267,0.0004274692,0.001781946],"category_scores_gemma":[0.001079029,0.00006207026,0.0001530576,0.0002253452,0.0001001907,0.0002325695,0.0003023089,0.0001487009,0.001111202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009597438,"about_ca_system_score_gemma":0.00006284136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007471446,"about_ca_topic_score_gemma":0.00127865,"domain_scores_codex":[0.9997984,0.00003593981,0.0000136024,0.00005327052,0.0000718924,0.00002698213],"domain_scores_gemma":[0.9997395,0.00006824017,0.00003924972,0.00001369249,0.0001102272,0.00002915089],"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":[0.001733499,0.0001330158,0.05941999,0.0004076799,0.00005477525,0.0009070769,0.001034382,0.0005627267,0.5121129,0.0002367148,0.004461433,0.418936],"study_design_scores_gemma":[0.00006043,0.001165368,0.8681248,0.0001181848,0.0001677529,0.0058552,0.001822401,0.02690917,0.08337875,0.0004569557,0.01186414,0.00007679761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576939,0.002081717,0.02574358,0.00018494,0.0003207026,0.0001569205,0.001411843,0.0005298472,0.01187649],"genre_scores_gemma":[0.9855834,0.0006712078,0.008294276,0.0001691784,0.0001413437,0.00005963094,0.0007262416,0.00002603891,0.004328747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001781946,"threshold_uncertainty_score":0.00596118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894646318239564,"score_gpt":0.3410842778012275,"score_spread":0.3121378146188319,"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."}}