{"id":"W4298260046","doi":"10.17615/0gd3-w733","title":"Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Specialized Research Fund for the Doctoral Program of Higher Education of China; University of California, San Diego; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; Genentech; National Institutes of Health; Servier; Eli Lilly and Company; China Scholarship Council; Eisai; National Natural Science Foundation of China; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Alzheimer's Association; Amorfix Life Sciences; F. Hoffmann-La Roche; National Research Foundation; Medpace; AstraZeneca; 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":"Modality (human–computer interaction); Identification (biology); Cognitive impairment; Disease; Task (project management); Cognition; Selection (genetic algorithm); Feature selection; Feature (linguistics); Alzheimer's disease; Psychology; Cognitive psychology; Computer science; Artificial intelligence; Medicine; Neuroscience; Biology; Internal medicine; Linguistics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001964604,0.0002118265,0.0001721383,0.00007620468,0.0005583145,0.0003394191,0.0001294804,0.0001099362,0.00002574412],"category_scores_gemma":[0.002072078,0.0002107094,0.00009310163,0.0003765716,0.0003938404,0.0009146961,0.00005318861,0.0002430819,0.00001808477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525654,"about_ca_system_score_gemma":0.00012602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008293698,"about_ca_topic_score_gemma":0.00001119,"domain_scores_codex":[0.9982593,0.0002990621,0.0003313163,0.0007047164,0.0001859147,0.000219709],"domain_scores_gemma":[0.9986762,0.0005410726,0.0002380015,0.0001611264,0.0001040841,0.0002795427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.009402122,0.002846049,0.1766514,0.001093141,0.0003907178,0.00001671072,0.02073711,0.0001552307,0.2760336,0.4849913,0.008655538,0.0190272],"study_design_scores_gemma":[0.005122046,0.0002903508,0.6082397,0.00007364235,0.0003518216,0.00001295441,0.001701517,0.1597775,0.2010962,0.02173633,0.000890285,0.0007076457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3041809,0.0004406926,0.5956453,0.09012234,0.0007914478,0.005683359,0.001545274,0.001438524,0.0001522082],"genre_scores_gemma":[0.9945719,0.000003906646,0.002881437,0.001753831,0.0001034963,0.0002744403,0.0001397473,0.00002548765,0.0002457582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.690391,"threshold_uncertainty_score":0.859248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068454384706793,"score_gpt":0.308267505693385,"score_spread":0.2014220672227057,"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."}}