{"id":"W4313203473","doi":"10.1109/ictacs56270.2022.9988058","title":"Detection of Alzheimer's Disease Using Deep Learning, Blockchain, and IoT Cognitive Data","year":2022,"lang":"en","type":"article","venue":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sault College","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Big data; Resource (disambiguation); Default gateway; The Internet; Internet of Things; Machine learning; Restricted Boltzmann machine; Artificial neural network; Block (permutation group theory); Gateway (web page); Data flow diagram; Data science; Data mining; Computer network; Embedded system; World Wide Web","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":[0.0006507508,0.0004643863,0.0004392798,0.001012609,0.000302058,0.0005808408,0.0005322501,0.0006431671,0.0007788716],"category_scores_gemma":[0.001732201,0.0001769131,0.0003120257,0.0006250642,0.0003272004,0.0007452225,0.0005992827,0.0006342618,0.0001875916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008243301,"about_ca_system_score_gemma":0.0006980384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068619,"about_ca_topic_score_gemma":0.01083433,"domain_scores_codex":[0.9997866,0.00004244762,0.00001464398,0.00004068855,0.00005982057,0.00005578911],"domain_scores_gemma":[0.9994714,0.0002022082,0.00009179293,0.00005117814,0.0001297099,0.00005377016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001284023,0.00145119,0.05224773,0.0001565764,0.0002218422,0.0006600767,0.0001898269,0.5663617,0.01886074,0.003989591,0.002965299,0.3516114],"study_design_scores_gemma":[0.0000071788,0.00004820513,0.002673055,0.000006046494,0.000006585515,0.00003343692,0.00001647154,0.9936055,0.002089007,0.001313209,0.0001956683,0.000005650817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645542,0.001055905,0.1274622,0.001142215,0.00008504963,0.00009748367,0.0005154452,0.0008744119,0.00421319],"genre_scores_gemma":[0.9845367,0.000146643,0.01389832,0.00006059638,0.000011435,0.00002155282,0.0002078059,0.000005509853,0.001111519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01068619,"threshold_uncertainty_score":0.02124798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07127809165336982,"score_gpt":0.3389200055971967,"score_spread":0.2676419139438269,"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."}}