{"id":"W3022061183","doi":"10.1038/s41525-020-0128-1","title":"Genes and genomes and unnecessary complexity in precision medicine","year":2020,"lang":"en","type":"review","venue":"npj Genomic Medicine","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contingency; Relevance (law); Biology; Organism; Precision medicine; Computational biology; Evolutionary biology; Computer science; Genetics; Epistemology","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":[0.009196687,0.0007245506,0.001672404,0.001476699,0.001953262,0.005760785,0.001729349,0.006294082,0.001878084],"category_scores_gemma":[0.009409877,0.0004358852,0.0007527737,0.00136844,0.03329181,0.01045586,0.004001384,0.0078852,0.0006032772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003337119,"about_ca_system_score_gemma":0.003330939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001286371,"about_ca_topic_score_gemma":0.001267768,"domain_scores_codex":[0.9944592,0.00309845,0.0002960305,0.0007341004,0.001095956,0.0003162645],"domain_scores_gemma":[0.9917429,0.006131384,0.0004983318,0.000798462,0.0005255789,0.0003033161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004578768,0.00001298285,0.00074899,0.0005324531,0.00005267978,0.0003792483,0.001518066,0.001112033,0.0007222216,0.9522627,0.007239331,0.03537342],"study_design_scores_gemma":[0.00001170467,0.0000314245,0.0004343268,0.0003804248,0.00002063786,0.0004715782,0.0004595276,0.000326322,0.0003747428,0.8962107,0.1012471,0.00003150925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01295105,0.6056755,0.0761874,0.2577452,0.006810879,0.00006213379,0.0002124727,0.000289147,0.04006616],"genre_scores_gemma":[0.4306369,0.3648995,0.07943917,0.1041411,0.01205447,0.0003162731,0.000283312,0.0001827029,0.008046523],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009196687,"threshold_uncertainty_score":0.04863727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06316977983296768,"score_gpt":0.3450122506251048,"score_spread":0.2818424707921371,"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."}}