{"id":"W1997654049","doi":"10.4137/cin.s1046","title":"Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic semantic Decomposition of Unstructured phenotypes","year":2009,"lang":"en","type":"article","venue":"Cancer Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; National Cancer Institute","keywords":"Neuroimaging; Computer science; Phenotype; Data science; Artificial intelligence; Computational biology; Data mining; Natural language processing; Neuroscience; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005822751,0.00007062586,0.0001147729,0.00002420532,0.00002600261,0.000008870603,0.00005607901,0.00005785443,0.000001085105],"category_scores_gemma":[0.00002917305,0.00005840878,0.00001411853,0.00004032069,0.0001659462,0.000009985572,0.00002890297,0.00004352201,4.924355e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003449766,"about_ca_system_score_gemma":0.0000205639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006361001,"about_ca_topic_score_gemma":0.000002420291,"domain_scores_codex":[0.9995801,0.00000983825,0.0002193936,0.00006335798,0.00005202726,0.00007529539],"domain_scores_gemma":[0.9997095,0.000008034378,0.0001248946,0.0001056001,0.0000322037,0.00001974338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004878695,0.00001303575,0.000315896,0.0002974167,0.00002162351,2.141358e-7,0.003098493,0.0004107149,0.8751984,0.0007203927,0.0004169438,0.1194581],"study_design_scores_gemma":[0.001446806,0.0004918372,0.006125114,0.0005336622,0.0001189224,0.00005334029,0.002369284,0.1148087,0.8616687,0.01024966,0.001723911,0.0004101145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8972731,0.001016647,0.1013091,0.0001087854,0.00003255907,0.00006078792,0.00006854469,0.000005286838,0.0001252283],"genre_scores_gemma":[0.965794,0.0006547814,0.03318977,0.0002234023,0.00001336245,0.000001139988,0.0001186962,0.000002617162,0.000002209231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.119048,"threshold_uncertainty_score":0.2381841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156274234471108,"score_gpt":0.2953569683706621,"score_spread":0.2797295449235513,"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."}}