{"id":"W3204198944","doi":"10.3233/faia210079","title":"Zoo Therapy for Alzheimer’s Disease with Real-Time Speech Instruction and Neurofeedback System","year":2021,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neurofeedback; Virtual reality; Electroencephalography; Psychology; Cognition; Disease; Cognitive psychology; Computer science; Psychotherapist; Human–computer interaction; Neuroscience; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001159562,0.0004776931,0.0002122048,0.0003867926,0.0001079037,0.0003034588,0.0004346129,0.0006151584,0.01189351],"category_scores_gemma":[0.0001310733,0.00007089334,0.0002759245,0.0001535024,0.0001388682,0.0004530794,0.0002985738,0.0004093403,0.002823597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362919,"about_ca_system_score_gemma":0.000144479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003227493,"about_ca_topic_score_gemma":0.0007901633,"domain_scores_codex":[0.9999576,0.000007383655,0.000002330371,0.000007459684,0.00002091225,0.000004372623],"domain_scores_gemma":[0.9999634,0.0000205317,0.000001933387,0.000002008331,0.000007943451,0.000004157848],"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":[0.0002647993,0.0002019184,0.0003695423,0.001086063,0.00003021859,0.001306448,0.0005644307,0.0008657457,0.09515747,0.004816549,0.03996572,0.8553712],"study_design_scores_gemma":[0.0002240827,0.001769572,0.01223264,0.001007094,0.0002310867,0.02481942,0.0006496513,0.01961937,0.07974,0.009474659,0.8500834,0.0001490337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.128473,0.2180742,0.3715407,0.004220808,0.003492222,0.000494188,0.0007725304,0.009372354,0.26356],"genre_scores_gemma":[0.3393162,0.09108092,0.1533344,0.002787269,0.001080076,0.0005901286,0.0009154887,0.0005118775,0.4103836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189351,"threshold_uncertainty_score":0.03978777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03697554476214582,"score_gpt":0.3126047383059904,"score_spread":0.2756291935438446,"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."}}