{"id":"W4404957801","doi":"10.2196/62914","title":"Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review","year":2024,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; European Commission","keywords":"Preprint; Cognition; Computer science; Medicine; Artificial intelligence; World Wide Web; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002876103,0.00131574,0.003210672,0.009882906,0.000392161,0.002074079,0.001327684,0.001561942,0.004447588],"category_scores_gemma":[0.01296253,0.0005524897,0.003448538,0.007717339,0.0006079595,0.001707436,0.0009724652,0.001012597,0.0004873693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358082,"about_ca_system_score_gemma":0.005059331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898486,"about_ca_topic_score_gemma":0.008453337,"domain_scores_codex":[0.9983184,0.0004716736,0.0005781921,0.0001730338,0.0003929819,0.00006574592],"domain_scores_gemma":[0.9879528,0.009670665,0.001258456,0.00013232,0.0008806542,0.0001051569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001395108,0.0000491015,0.0007176406,0.5910398,0.001891372,0.0001233545,0.000203462,0.0002297458,0.0001938009,0.0009984345,0.005838713,0.398575],"study_design_scores_gemma":[0.00009321409,0.0002617706,0.007631077,0.7708333,0.01871497,0.001586467,0.0004173042,0.0002387967,0.0003722493,0.001856898,0.1979096,0.00008436391],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009331562,0.9995509,0.00004292606,0.00009450423,0.00004307452,0.00001294882,0.00002958196,0.000002432472,0.0001302375],"genre_scores_gemma":[0.001186821,0.9984348,0.0001508906,0.00008641506,0.00005173471,0.00002326719,0.00003031406,8.729613e-7,0.00003498694],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009882906,"threshold_uncertainty_score":0.01521045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126643221853439,"score_gpt":0.4821319647607637,"score_spread":0.3554887429073247,"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."}}