{"id":"W7114786974","doi":"10.1212/wn9.0000000000000043","title":"Facial Expression Metrics as Digital Biomarkers of Neurologic Disease","year":2025,"lang":"en","type":"article","venue":"Neurology Open Access","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Facial expression; Neurologic disease; Medical diagnosis; Anxiety; Disease; Expression (computer science); Set (abstract data type)","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":[0.0008881937,0.0005744981,0.0003127696,0.001483889,0.000156499,0.0007922764,0.0002427473,0.0004382431,0.003440629],"category_scores_gemma":[0.003079671,0.0001074821,0.0002218782,0.0007588316,0.0002448647,0.0005432379,0.0004206412,0.0004051153,0.000589074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556774,"about_ca_system_score_gemma":0.0001388779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009925739,"about_ca_topic_score_gemma":0.001966672,"domain_scores_codex":[0.9995409,0.0001327847,0.00004272951,0.0001024377,0.0001406668,0.00004039307],"domain_scores_gemma":[0.9990687,0.0003062227,0.0002878721,0.0000561683,0.0002142124,0.00006678679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003122337,0.0005832003,0.4032561,0.0008080303,0.0002822379,0.0003808008,0.0008833617,0.003916695,0.1279425,0.002696058,0.007436651,0.448692],"study_design_scores_gemma":[0.00009897809,0.001367675,0.9404561,0.0002176668,0.0002308665,0.001410308,0.001036095,0.02574731,0.0200964,0.002868655,0.006376966,0.00009292741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400089,0.00388074,0.02984898,0.0004280455,0.0002655846,0.0005384512,0.004480611,0.0004639279,0.02008468],"genre_scores_gemma":[0.9717879,0.001290864,0.02241012,0.0002208138,0.0001193444,0.0003241929,0.00121199,0.00003645977,0.002598384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003440629,"threshold_uncertainty_score":0.01151001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07036429643863629,"score_gpt":0.4223523133772866,"score_spread":0.3519880169386503,"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."}}