{"id":"W2129654888","doi":"10.3233/jad-2012-121024","title":"Bioprofile Analysis: A New Approach for the Analysis of Biomedical Data in Alzheimer's Disease","year":2012,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Programme Grants for Applied Research; University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; National Institutes of Health; Genentech; IXICO; Servier; Eisai; National Institute on Aging; National Institute for Health and Care Research; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Alzheimer's Association; Amorfix Life Sciences; F. Hoffmann-La Roche; Medpace; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb; Novartis Pharmaceuticals Corporation; Synarc; Bayer HealthCare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Foundation for the National Institutes of Health","keywords":"Disease; Alzheimer's disease; Neuroscience; Data science; Computer science; Computational biology; Psychology; Cognitive science; Medicine; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00444687,0.00112497,0.001572943,0.01128138,0.0009113107,0.003643616,0.001012442,0.0009986317,0.001442777],"category_scores_gemma":[0.0114357,0.0004400343,0.001992423,0.005586642,0.001337521,0.002614804,0.002214075,0.001768291,0.0008215616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007489085,"about_ca_system_score_gemma":0.001635473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896146,"about_ca_topic_score_gemma":0.001893736,"domain_scores_codex":[0.9959436,0.001621295,0.0005226227,0.0007611962,0.001047877,0.0001033576],"domain_scores_gemma":[0.9921238,0.004532044,0.000989854,0.001237601,0.0008353359,0.0002814468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004931022,0.0002708905,0.01935573,0.001626044,0.001384014,0.001055422,0.002250357,0.02109662,0.03788183,0.08061954,0.01218653,0.82178],"study_design_scores_gemma":[0.00006927578,0.0003853291,0.02822994,0.0006949182,0.0004496682,0.003218364,0.001407435,0.4186488,0.02201279,0.4235981,0.1008688,0.0004166811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004790861,0.001095731,0.9904361,0.0005933401,0.00007202675,0.00009366292,0.0009247664,0.0013715,0.0006219664],"genre_scores_gemma":[0.05167807,0.00105659,0.9443408,0.0002749343,0.0001580053,0.0002735562,0.001435444,0.0001626408,0.0006199404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01128138,"threshold_uncertainty_score":0.02351755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351207223031408,"score_gpt":0.3092575735660963,"score_spread":0.2657455013357822,"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."}}