{"id":"W4402242538","doi":"10.1159/000540547","title":"Video Assessment to Detect Amyotrophic Lateral Sclerosis","year":2024,"lang":"en","type":"article","venue":"Digital Biomarkers","topic":"Facial Nerve Paralysis Treatment and Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; RMIT University; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Stiftelsen Promobilia","keywords":"Amyotrophic lateral sclerosis; Facial expression; Facial muscles; Expression (computer science); Action (physics); Physical medicine and rehabilitation; Medicine; Psychology; Neuroscience; Computer science; Communication; Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003154435,0.0004948678,0.0002360055,0.001346929,0.00009650528,0.0003438676,0.0001919667,0.0002751353,0.001922252],"category_scores_gemma":[0.001318646,0.00005780795,0.0001539192,0.0003748782,0.00007861746,0.000224223,0.0001957798,0.0001610867,0.0006746919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713199,"about_ca_system_score_gemma":0.000214152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423266,"about_ca_topic_score_gemma":0.005898913,"domain_scores_codex":[0.9998015,0.00003883668,0.00001702992,0.00005071532,0.0000717234,0.0000202371],"domain_scores_gemma":[0.9995686,0.0001076397,0.00008945508,0.00001855024,0.0001796125,0.00003606957],"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":[0.001927074,0.0004096764,0.1876251,0.0006167028,0.000251624,0.000960443,0.0001842505,0.00734555,0.1535206,0.0004765678,0.01019306,0.6364894],"study_design_scores_gemma":[0.0001137676,0.001778615,0.6642378,0.0002579056,0.0003045959,0.004897747,0.0005091768,0.23729,0.07794421,0.0009475606,0.0116363,0.00008228762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406787,0.002687359,0.04031345,0.0002742505,0.0001364116,0.0006547099,0.006091764,0.0007985989,0.008364781],"genre_scores_gemma":[0.9698921,0.0009254267,0.02306384,0.00009989281,0.00005512166,0.0001613943,0.003299731,0.00002485758,0.002477478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004423266,"threshold_uncertainty_score":0.008795023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098663657228492,"score_gpt":0.3271064708145992,"score_spread":0.2961198342423143,"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."}}