{"id":"W2765498943","doi":"10.3389/fninf.2017.00063","title":"Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?","year":2017,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Institutes of Health; Genentech; National Institute of Neurological Disorders and Stroke; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of Washington; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Amazon Web Services; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Neuroimaging; Computer science; Cloud computing; Workflow; Set (abstract data type); Neuroinformatics; Data science; Benchmarking; Artificial intelligence; Machine learning; Database","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":[0.006731838,0.001280287,0.0009766602,0.001398639,0.001429291,0.005529656,0.003388849,0.001314159,0.00470162],"category_scores_gemma":[0.03173444,0.0009638931,0.0008804175,0.002500425,0.001089779,0.008480924,0.002186895,0.001691326,0.003842133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002778287,"about_ca_system_score_gemma":0.00383633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02786298,"about_ca_topic_score_gemma":0.02950634,"domain_scores_codex":[0.9901519,0.002144876,0.0009188182,0.001011008,0.004440062,0.0013334],"domain_scores_gemma":[0.9820669,0.004775059,0.001620225,0.003691277,0.006166387,0.001680087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001430088,0.0005246262,0.03561487,0.001352738,0.0002736792,0.0007087024,0.001016025,0.02092364,0.03217914,0.03950762,0.1237205,0.7427483],"study_design_scores_gemma":[0.0003801275,0.001237818,0.09011912,0.001872342,0.0004859559,0.001765533,0.005481858,0.3294286,0.07207829,0.1128855,0.3832648,0.00100009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3608359,0.01879648,0.3965463,0.06963951,0.003264565,0.002361001,0.005004064,0.05385692,0.08969517],"genre_scores_gemma":[0.6466839,0.006745882,0.3220326,0.003816413,0.0007035261,0.0007061719,0.005094199,0.007505953,0.006711275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02786298,"threshold_uncertainty_score":0.05540156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02956327913772445,"score_gpt":0.2556311928493416,"score_spread":0.2260679137116172,"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."}}