{"id":"W2408647579","doi":"10.1007/978-3-319-24574-4_62","title":"Predictive Modeling of Anatomy with Genetic and Clinical Data","year":2015,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute on Drug Abuse; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; BrightFocus Foundation; American Health Assistance Foundation","keywords":"Contrast (vision); Population; Voxel; Parametric model; Artificial intelligence; Computer science; Parametric statistics; Focus (optics); Medicine; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003887448,0.001148787,0.001261141,0.002618782,0.000391956,0.001878169,0.002002449,0.001526979,0.002158075],"category_scores_gemma":[0.01491473,0.0009346077,0.002057375,0.001957183,0.001004202,0.001228741,0.001438882,0.002215446,0.001063847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007757842,"about_ca_system_score_gemma":0.001051266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232432,"about_ca_topic_score_gemma":0.01145215,"domain_scores_codex":[0.9989045,0.0005267424,0.00005945885,0.0002543751,0.0001503489,0.0001045773],"domain_scores_gemma":[0.987206,0.01057471,0.0006656135,0.0008175101,0.0004671529,0.0002689552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003859172,0.0002242696,0.04877141,0.00007847186,0.0001888885,0.000456589,0.00009107176,0.8737748,0.0006133445,0.005605672,0.002876601,0.06693306],"study_design_scores_gemma":[0.00001131112,0.00001875611,0.001469477,0.000009203104,0.00002090965,0.00006791359,0.000007535131,0.9910892,0.0001171858,0.006988425,0.0001933726,0.000006609405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2598801,0.001707732,0.7268804,0.002886602,0.0001829391,0.00013359,0.00403687,0.002221167,0.002070643],"genre_scores_gemma":[0.963785,0.0007614098,0.03048877,0.0001814211,0.0002022328,0.0001230766,0.002478053,0.00007760138,0.001902502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232432,"threshold_uncertainty_score":0.0245052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373816388543649,"score_gpt":0.337119681390035,"score_spread":0.2933815175045985,"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."}}