{"id":"W4409280362","doi":"10.1016/j.biopsych.2025.02.576","title":"338. Mapping Neural Mechanisms of Body Size Estimation With a 3D Avatar: Implications for Body Perception and Body Image Disorders","year":2025,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Avatar; Perception; Body shape; Artificial intelligence; Computer science; Computer vision; Psychology; Pattern recognition (psychology); Human–computer interaction; Neuroscience","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":[0.0001158896,0.0002903136,0.00009004945,0.0001402939,0.0002214806,0.000357897,0.0003016093,0.001017781,0.01992128],"category_scores_gemma":[0.0007517024,0.0001011241,0.0002354584,0.0001073646,0.0002492953,0.0005150405,0.0002608546,0.0004833768,0.001878107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235176,"about_ca_system_score_gemma":0.0002024988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785695,"about_ca_topic_score_gemma":0.002043932,"domain_scores_codex":[0.9999684,0.000005306551,0.000001293084,0.00001012583,0.00000956169,0.000005287244],"domain_scores_gemma":[0.9998974,0.00005095737,0.000008897133,0.000005099132,0.00002324685,0.00001441676],"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":[0.002158222,0.0004838423,0.01063668,0.000706609,0.00009603848,0.002861534,0.00124582,0.005987549,0.449865,0.0539638,0.02728273,0.4447121],"study_design_scores_gemma":[0.0008029276,0.003095747,0.3220612,0.0005959626,0.0004184961,0.01057473,0.002530748,0.1289293,0.2507829,0.1715489,0.1084472,0.0002117859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6162513,0.006629778,0.2037953,0.02585762,0.003205422,0.0003168443,0.003096442,0.0009100166,0.1399373],"genre_scores_gemma":[0.9484088,0.00185772,0.01687174,0.001029803,0.0001802024,0.00009826383,0.0002640195,0.00006331709,0.03122598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01992128,"threshold_uncertainty_score":0.0666433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827170323550838,"score_gpt":0.2918451230558663,"score_spread":0.2735734198203579,"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."}}