{"id":"W2113364681","doi":"10.1186/s12864-015-1616-z","title":"Assessing models for genetic prediction of complex traits: a comparison of visualization and quantitative methods","year":2015,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Centre for Addiction and Mental Health Foundation","keywords":"Interpretability; Receiver operating characteristic; Plot (graphics); Quantile; Visualization; Computer science; Data mining; Machine learning; Artificial intelligence; Statistics; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05724026,0.003519889,0.002681094,0.009492786,0.0008117793,0.006157691,0.003175478,0.002408527,0.003544337],"category_scores_gemma":[0.1671016,0.001005895,0.003446928,0.004685475,0.002209645,0.005243222,0.004168714,0.00327079,0.0007837677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188171,"about_ca_system_score_gemma":0.002242425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00631428,"about_ca_topic_score_gemma":0.003209694,"domain_scores_codex":[0.9676266,0.02521108,0.00142425,0.001961091,0.003412273,0.0003646885],"domain_scores_gemma":[0.6833842,0.2907318,0.009289362,0.008975714,0.006430655,0.001188262],"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":[0.002113414,0.0005891907,0.07529624,0.00255266,0.003493457,0.0003517177,0.001745881,0.4728149,0.001880969,0.06848606,0.01109884,0.3595767],"study_design_scores_gemma":[0.0001048425,0.0003021398,0.00548271,0.0003377872,0.0001724372,0.0002144687,0.0002296995,0.9402503,0.0005374458,0.05013166,0.002127875,0.000108689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04570746,0.005666127,0.938786,0.002448264,0.0002054176,0.0002408805,0.001136744,0.004175231,0.001633961],"genre_scores_gemma":[0.5469887,0.00394205,0.4438201,0.000521828,0.0003279104,0.0007359568,0.001774261,0.001260253,0.0006288392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05724026,"threshold_uncertainty_score":0.3027191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2431783324915213,"score_gpt":0.4520885273151605,"score_spread":0.2089101948236392,"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."}}