{"id":"W4394687825","doi":"10.1002/sam.11679","title":"Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease","year":2024,"lang":"en","type":"article","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Wilfrid Laurier University; University of Manitoba","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institute on Aging; Agencia Estatal de Investigación; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; Eisai Canada; H. Lundbeck A/S; Servier; Eisai; Shared Hierarchical Academic Research Computing Network; Ministerio de Ciencia, Innovación y Universidades; Northern California Institute for Research and Education; IXICO; Takeda Pharmaceutical Company; Alzheimer's Association; Fujirebio US; DoD Alzheimer's Disease Neuroimaging Initiative; Natural Sciences and Engineering Research Council of Canada; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Roche; AbbVie Canada; University of Southern California; Novartis Pharmaceuticals Corporation; Chesapeake Research Consortium; U.S. Department of Defense; Eli Lilly and Company; Alliance de recherche numérique du Canada; Bristol-Myers Squibb; Alzheimer's Drug Discovery Foundation; Merck; GE Healthcare; Basque Center for Applied Mathematics; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Disease; BETA (programming language); Amyloid (mycology); Amyloid beta; Alzheimer's disease; Neuroscience; Computer science; Biology; Medicine; Pathology","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":[0.002905439,0.001271242,0.00168503,0.001007867,0.000509406,0.001541417,0.001985025,0.002701048,0.00208074],"category_scores_gemma":[0.007288339,0.001025667,0.001325924,0.0007729657,0.001551423,0.001137992,0.001251802,0.001785185,0.0002366578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148342,"about_ca_system_score_gemma":0.002186809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03632538,"about_ca_topic_score_gemma":0.01565894,"domain_scores_codex":[0.9991736,0.0002820017,0.00004305464,0.0002239606,0.0001453728,0.0001320983],"domain_scores_gemma":[0.99589,0.002726641,0.0005620819,0.00009059468,0.0005216186,0.0002090717],"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":[0.00002604443,0.00001618762,0.0008785382,0.00001912263,0.00002294972,0.00004668265,0.00001459267,0.9909464,0.0002669283,0.006909019,0.0001954187,0.0006581519],"study_design_scores_gemma":[0.000005160132,0.000005729897,0.0001439921,0.0000022733,0.000004723017,0.000004280328,0.000002594341,0.998221,0.00002612295,0.001516976,0.00006207913,0.000005078809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2300762,0.001078753,0.7586125,0.002436841,0.0001857938,0.0001678122,0.002175529,0.0005428123,0.004723806],"genre_scores_gemma":[0.9732444,0.0003897914,0.01986371,0.0002401939,0.00007674804,0.0002479426,0.0008999961,0.00005772631,0.004979373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03632538,"threshold_uncertainty_score":0.0722279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3030961333940841,"score_gpt":0.4876074570137182,"score_spread":0.1845113236196341,"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."}}