{"id":"W2116385095","doi":"10.1186/gm472","title":"Pathprinting: An integrative approach to understand the functional basis of disease","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Human genetics; Computational biology; Disease; Systems biology; Basis (linear algebra); Medicine; Bioinformatics; Biology; Internal medicine; Genetics; Mathematics","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":[0.0001194186,0.0001068353,0.0001141137,0.00003502729,0.00006719277,0.000008014012,0.0001652993,0.00002962008,0.0001311403],"category_scores_gemma":[0.00007758543,0.00005960344,0.00004709549,0.00007986844,0.0001406272,0.000002456099,0.00007177283,0.00004193882,0.000007910259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100865,"about_ca_system_score_gemma":0.00006039818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000549557,"about_ca_topic_score_gemma":0.00000577842,"domain_scores_codex":[0.9993303,0.00003772334,0.0001514393,0.0002263891,0.0001217872,0.0001323542],"domain_scores_gemma":[0.9993082,0.000009621452,0.00005050929,0.0003165735,0.0001167728,0.0001983723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008142951,0.001033008,0.01582072,0.0001816593,0.0004633199,0.000005689516,0.006614397,0.001922329,0.931112,0.0061144,0.02213777,0.01378039],"study_design_scores_gemma":[0.002022366,0.001844973,0.9174774,0.00006548095,0.0002358832,0.00001732271,0.03854731,0.0006430687,0.007127674,0.003245334,0.02810826,0.0006649168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879391,0.0008073343,0.007284579,0.0009630526,0.0000847639,0.0003243027,0.00002625182,0.00000473958,0.002565864],"genre_scores_gemma":[0.997894,0.00004728772,0.0002384992,0.000751987,0.0003024194,0.00003000008,0.0002097449,0.00001128515,0.0005147892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239843,"threshold_uncertainty_score":0.2430558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765612838841118,"score_gpt":0.2294766712777885,"score_spread":0.2118205428893773,"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."}}