{"id":"W116337172","doi":"","title":"Joint analysis of imaging and genomic data to identify associations related to cognitive impairment","year":2014,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; Alzheimer's Disease Neuroimaging Initiative","keywords":"Joint (building); Cognitive impairment; Cognition; Computer science; Medicine; Psychology; Artificial intelligence; Neuroscience; 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":[0.0004096395,0.00009701213,0.0002341209,0.0003377867,0.00009532311,0.00001018978,0.0002188855,0.0000813127,0.00002031777],"category_scores_gemma":[0.0003000563,0.0001138461,0.00007443171,0.0005666242,0.0000341346,0.0000065762,0.0004823734,0.00005242057,0.00001092501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000428511,"about_ca_system_score_gemma":0.00003296401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002029595,"about_ca_topic_score_gemma":0.006874278,"domain_scores_codex":[0.9990122,0.0001559415,0.0001907112,0.0003885164,0.00007017555,0.0001824312],"domain_scores_gemma":[0.9992162,0.00004965375,0.0001286377,0.0003528633,0.0001301582,0.0001225107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001790652,0.00003618663,0.9903303,0.000002414077,0.0006542598,0.000001272533,0.00002837475,0.0006665433,0.002958902,0.00005020449,0.004580373,0.0006733015],"study_design_scores_gemma":[0.0004515472,0.0001032625,0.9829645,0.000007097504,0.0007779938,5.553648e-9,0.002950925,0.00144578,0.0007619568,0.00003356157,0.01033791,0.0001655193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915757,0.00004160988,0.00671827,0.0004976773,0.00004520862,0.0001515552,0.0003682621,0.000007672643,0.0005940322],"genre_scores_gemma":[0.9976268,0.00003831629,0.0007306912,0.0003033041,0.00001599807,6.976311e-7,0.0008361567,0.000007518223,0.0004404623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007365821,"threshold_uncertainty_score":0.464251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834718486266851,"score_gpt":0.2669717915242871,"score_spread":0.2486246066616186,"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."}}