{"id":"W2883390583","doi":"10.3390/diagnostics8030047","title":"ALTEA: A Software Tool for the Evaluation of New Biomarkers for Alzheimer’s Disease by Means of Textures Analysis on Magnetic Resonance Images","year":2018,"lang":"en","type":"article","venue":"Diagnostics","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; American Concrete Institute Foundation; H. Lundbeck A/S; Servier; Eisai; Genentech; IXICO; Bristol-Myers Squibb; Ministerio de Economía y Competitividad; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Magnetic resonance imaging; Histogram; Texture (cosmology); Cognitive impairment; Disease; Gray level; Cognition; Pattern recognition (psychology); Medicine; Computer science; Software; Artificial intelligence; Pathology; Psychology; Radiology; Neuroscience; Image (mathematics)","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":[0.001901524,0.001479641,0.001053429,0.004480266,0.0002730877,0.001265128,0.0008607953,0.0006129917,0.01402635],"category_scores_gemma":[0.005341186,0.0006632404,0.001104147,0.001269497,0.0002750533,0.001056958,0.001221689,0.0007421927,0.003252442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746989,"about_ca_system_score_gemma":0.0005155858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292762,"about_ca_topic_score_gemma":0.001402576,"domain_scores_codex":[0.9994844,0.000101741,0.00008946819,0.0001060654,0.0001745663,0.00004376011],"domain_scores_gemma":[0.9979905,0.001278587,0.000220546,0.000128744,0.0002878915,0.00009369834],"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":[0.003547487,0.0005890333,0.01952644,0.001698004,0.0009923631,0.00126731,0.00109493,0.009311935,0.08912605,0.003458086,0.0739733,0.795415],"study_design_scores_gemma":[0.001716508,0.001838403,0.1556968,0.0006745421,0.0008850071,0.005654593,0.0006880188,0.5122188,0.1425348,0.01595604,0.161361,0.0007753847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05757164,0.0008605299,0.6722135,0.0001862237,0.0001401462,0.0009913545,0.01512129,0.2499487,0.002966606],"genre_scores_gemma":[0.2073872,0.0008435631,0.7487574,0.0002693549,0.0001187596,0.00376059,0.01705259,0.01426071,0.007549758],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01402635,"threshold_uncertainty_score":0.0469228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05382419459639166,"score_gpt":0.3735518813097085,"score_spread":0.3197276867133168,"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."}}