{"id":"W4396871271","doi":"10.47392/irjaem.2024.0168","title":"AI Chaperone: Awareness Chatbot for Alzheimer’s Disease","year":2024,"lang":"en","type":"article","venue":"International Research Journal on Advanced Engineering and Management (IRJAEM)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Chatbot; Chaperone (clinical); Disease; Neuroscience; Computational biology; Computer science; Cognitive science; Biology; Natural language processing; Medicine; Psychology; Pathology","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":[0.001724073,0.0008761373,0.0003530254,0.0006466148,0.0005159904,0.0008232386,0.001229521,0.001188882,0.009512578],"category_scores_gemma":[0.005827514,0.0002093217,0.0003476176,0.0001941593,0.0003324404,0.001928635,0.001701423,0.0009835932,0.003242952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351081,"about_ca_system_score_gemma":0.0007101443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007631555,"about_ca_topic_score_gemma":0.001101427,"domain_scores_codex":[0.9992104,0.0004149741,0.00005334968,0.0001366777,0.0001139336,0.00007071029],"domain_scores_gemma":[0.9965822,0.002217019,0.0001633206,0.0002635488,0.000310883,0.0004629574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003287705,0.002083351,0.009249543,0.002373578,0.0001529917,0.002905477,0.007968476,0.006596276,0.0635611,0.01124531,0.1839865,0.7065897],"study_design_scores_gemma":[0.0007217052,0.004211215,0.02418143,0.00130912,0.0004554886,0.006850764,0.005274806,0.2240962,0.0587991,0.03177604,0.6417484,0.0005757114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2353951,0.005034104,0.5163639,0.004643555,0.00186604,0.00229968,0.003491391,0.1783323,0.05257387],"genre_scores_gemma":[0.6601427,0.001321704,0.2732741,0.003511365,0.000658939,0.001494681,0.005028889,0.001976421,0.05259121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009512578,"threshold_uncertainty_score":0.03182274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05821428964770078,"score_gpt":0.4216409348306032,"score_spread":0.3634266451829024,"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."}}