{"id":"W3166095963","doi":"10.1038/s41598-021-91710-5","title":"Natural human postural oscillations enhance the empathic response to a facial pain expression in a virtual character","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation; Montreal Council on Foreign Relations","funders":"Université Paris-Sud","keywords":"Facial expression; Character (mathematics); Natural (archaeology); Expression (computer science); Virtual actor; Psychology; Computer science; Physical medicine and rehabilitation; Communication; Cognitive psychology; Medicine; Virtual reality; Human–computer interaction; Biology","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":[0.005057538,0.0001409474,0.0001532577,0.0001920626,0.0007847638,0.001002431,0.0005045134,0.00005908844,0.00002031507],"category_scores_gemma":[0.001718094,0.00010285,0.00007952707,0.001635479,0.0001162752,0.0005471415,0.0004156912,0.0002345548,0.00004038568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006613,"about_ca_system_score_gemma":0.0003727476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000256306,"about_ca_topic_score_gemma":0.0001599842,"domain_scores_codex":[0.9970527,0.0005732598,0.0005004457,0.000853273,0.0006438157,0.0003764821],"domain_scores_gemma":[0.9976611,0.000202502,0.0001731303,0.001558258,0.0002484232,0.0001566514],"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":[0.00001684413,0.00007965243,0.0003437565,0.00000244831,0.000002695834,0.0001670705,0.007686314,0.00007540871,0.9757888,0.0007453026,0.003286084,0.0118056],"study_design_scores_gemma":[0.000486838,0.0003151898,0.3719925,0.0003790364,0.00001070986,0.0007019454,0.00213681,0.00852203,0.2709711,0.01628506,0.3269912,0.001207644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762866,0.00005024141,0.01514816,0.006064198,0.001860293,0.000351917,0.000003194108,0.00006780336,0.000167576],"genre_scores_gemma":[0.9942127,6.416076e-7,0.0008849017,0.0006030216,0.00005746889,0.00005970895,0.00002185619,0.000006474905,0.004153239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7048178,"threshold_uncertainty_score":0.9666461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623713283249699,"score_gpt":0.2951196453200035,"score_spread":0.2788825124875065,"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."}}