{"id":"W2802613071","doi":"10.2196/medinform.9063","title":"A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain Research: Design Study","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Janssen Alzheimer Immunotherapy Research And Development; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; Florida Department of Health; University of Southern California; Biogen; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; U.S. Department of Defense; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association; National Science Foundation","keywords":"Neuroimaging; Computer science; Interface (matter); Human–computer interaction; Data science; World Wide Web; Medicine; Psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01361868,0.000965231,0.0005418136,0.0009645256,0.0006295045,0.001495371,0.001035818,0.001013413,0.01090557],"category_scores_gemma":[0.01209184,0.000528591,0.0007796595,0.0006916912,0.0008969927,0.001123539,0.00146896,0.0006801132,0.002495262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045939,"about_ca_system_score_gemma":0.003543029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008596424,"about_ca_topic_score_gemma":0.0007277247,"domain_scores_codex":[0.9899179,0.00773563,0.000471003,0.0004975611,0.001055839,0.0003220811],"domain_scores_gemma":[0.989545,0.00476486,0.0007405932,0.001001319,0.002828693,0.001119465],"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":[0.02618464,0.01685776,0.06504064,0.008092945,0.0009223454,0.001770234,0.0087489,0.02196725,0.08799246,0.03423545,0.02474868,0.7034386],"study_design_scores_gemma":[0.02209359,0.1669417,0.1315361,0.002136159,0.003939344,0.004339461,0.007674519,0.2527316,0.1329316,0.02612194,0.2487488,0.0008051724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4714878,0.0005324886,0.4663711,0.0008649117,0.0002545684,0.04195464,0.001038192,0.004334842,0.01316149],"genre_scores_gemma":[0.4492241,0.000352855,0.4821151,0.0007218706,0.00009311302,0.06024083,0.0007129007,0.0005304553,0.006008665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01361868,"threshold_uncertainty_score":0.07202333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1221846674184832,"score_gpt":0.4244814521929944,"score_spread":0.3022967847745112,"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."}}