{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059217,0.0001574189,0.0001160818,0.0007578517,0.0002330542,0.0007433649,0.0007834361,0.00003002098,0.00001903109],"category_scores_gemma":[0.0002262632,0.0001422441,0.00007450751,0.0002849091,0.0000251205,0.0005930606,0.0002958332,0.0006403335,0.00002746274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173705,"about_ca_system_score_gemma":0.00006470742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003579283,"about_ca_topic_score_gemma":6.805228e-7,"domain_scores_codex":[0.9979409,0.00004843491,0.0002417696,0.0004266239,0.0008940171,0.00044824],"domain_scores_gemma":[0.9988444,0.0003275696,0.00002965258,0.000240379,0.0002365067,0.0003215013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007453871,0.00004749177,0.000101695,0.0003615561,0.0001914941,0.000436826,0.0001249944,0.1137691,0.00007407367,0.5805912,0.002590897,0.3016361],"study_design_scores_gemma":[0.0002929971,0.0001208984,0.001557732,0.0005176837,0.000006508114,0.00002796676,0.00001217634,0.5801622,0.00003307032,0.003827533,0.4133013,0.0001399663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003281686,0.006254566,0.9354147,0.04880873,0.004190385,0.000649403,0.00001589996,0.0003665537,0.001018068],"genre_scores_gemma":[0.9576582,0.004653949,0.03261047,0.0009173395,0.000941774,0.0003514945,0.00001691494,0.00006842347,0.002781461],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9543765,"threshold_uncertainty_score":0.7168285,"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."}}