{"id":"W2978809733","doi":"10.1038/s41525-019-0099-2","title":"Can one overcome “unhealthy genes”?","year":2019,"lang":"en","type":"editorial","venue":"npj Genomic Medicine","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Gene; Computer science; Genetics; Biology; Computational biology","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":[0.01122641,0.003248607,0.004033257,0.003364957,0.004965886,0.009407469,0.004067556,0.03621851,0.01501534],"category_scores_gemma":[0.05128238,0.001410639,0.002608757,0.001400879,0.004491501,0.006922504,0.003981945,0.03692202,0.010075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004234548,"about_ca_system_score_gemma":0.004794134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126187,"about_ca_topic_score_gemma":0.007708286,"domain_scores_codex":[0.9923316,0.002348188,0.0009686839,0.0007910127,0.002989567,0.0005709441],"domain_scores_gemma":[0.964353,0.02056693,0.002114311,0.0009497203,0.007482089,0.004533944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001840253,0.000006937751,0.00001736725,0.0001985112,0.00001840243,0.00007168127,0.00001941607,0.00001115607,0.00001973244,0.0005631588,0.9948707,0.004184579],"study_design_scores_gemma":[0.00008588679,0.00002489699,0.0001518066,0.000743693,0.00008071026,0.0002141823,0.00006932299,0.00009274512,0.00005417757,0.003746038,0.9947113,0.00002527488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001823575,0.007721311,0.00009312527,0.1377933,0.8532986,0.000009750715,0.00002713271,0.0000299551,0.001008602],"genre_scores_gemma":[0.0002755288,0.004110849,0.0001050161,0.09315275,0.8981509,0.00002113827,0.00001399353,0.00002363507,0.004146117],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03621851,"threshold_uncertainty_score":0.05937159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932306961144761,"score_gpt":0.2876071543442399,"score_spread":0.2682840847327923,"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."}}