{"id":"W7067583553","doi":"","title":"Machine Learning Methods for Structural Brain MRIs: Applications for Alzheimer’s Disease and Autism Spectrum Disorder","year":2017,"lang":"en","type":"other","venue":"Tampere University Institutional Repository (Tampere University)","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Servier; Universidad Carlos III de Madrid; U.S. Department of Defense; Eli Lilly and Company; Compute Canada; China Scholarship Council; Eisai; Bristol-Myers Squibb; Ministerio de Economía y Competitividad; Meso Scale Diagnostics; Ministerio de Educación, Cultura y Deporte; Northern California Institute for Research and Education; European Commission; Fondation Brain Canada; Pfizer; Biogen; BioClinica; Synarc; University of Southern California; Medpace; Banco Santander; Novartis Pharmaceuticals Corporation; Alzheimer's Drug Discovery Foundation; Alzheimer's Disease Neuroimaging Initiative; Alzheimer's Association","keywords":"Neuroimaging; Feature selection; Disease; Autism spectrum disorder; Dimensionality reduction; Medical diagnosis; Feature (linguistics); Cognition; Neuropsychology","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":[0.002104337,0.0007382551,0.0008399725,0.001750593,0.0003421486,0.0006997445,0.0008990699,0.0009180575,0.001996739],"category_scores_gemma":[0.006200425,0.0003308929,0.001087464,0.001854243,0.0007189223,0.0007168739,0.0008697718,0.002026984,0.001010887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005077742,"about_ca_system_score_gemma":0.0006897381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703416,"about_ca_topic_score_gemma":0.00285445,"domain_scores_codex":[0.9992873,0.0002773133,0.00004186909,0.0001237096,0.0002316412,0.00003822446],"domain_scores_gemma":[0.9968752,0.002190437,0.0002102833,0.0002033365,0.0004479804,0.00007270966],"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":[0.0001134563,0.0001602159,0.005028395,0.0004396205,0.0002366505,0.0003418214,0.0002309063,0.1810931,0.007592518,0.04205384,0.01844733,0.7442622],"study_design_scores_gemma":[0.00001391911,0.00003485358,0.002601423,0.00007253815,0.00003056513,0.0002147284,0.00003922417,0.9394508,0.002010654,0.04206839,0.01343153,0.00003137805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009397988,0.011084,0.9728515,0.003192261,0.0002740827,0.00004689083,0.000200071,0.0008137493,0.00213955],"genre_scores_gemma":[0.170727,0.01557965,0.8040343,0.0006568134,0.001168728,0.0002331468,0.0005575169,0.00034584,0.006696985],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002703416,"threshold_uncertainty_score":0.01112896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117300593569872,"score_gpt":0.2329622987454834,"score_spread":0.2217892928097846,"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."}}