{"id":"W2555913480","doi":"10.1038/nbt.3684","title":"Confounding factors in identification of disease-resilient individuals","year":2016,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences","keywords":"Confounding; Identification (biology); Disease; Biology; Computational biology; Environmental health; Medicine; Ecology; Internal medicine","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":[0.004606392,0.000594956,0.0005380012,0.001253518,0.001364817,0.001067305,0.001019599,0.001172027,0.002385495],"category_scores_gemma":[0.01957449,0.0002481546,0.000457686,0.001596404,0.0009692675,0.0007155297,0.00106454,0.0008288677,0.0002840076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767426,"about_ca_system_score_gemma":0.0006684249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003065501,"about_ca_topic_score_gemma":0.002931425,"domain_scores_codex":[0.9949085,0.002777187,0.0004594889,0.0009077773,0.0005379219,0.0004090762],"domain_scores_gemma":[0.9918692,0.003415639,0.002262932,0.001475307,0.0004200663,0.0005567865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005873492,0.00008220248,0.9897922,0.00003715932,0.0001322892,0.000817441,0.0004018233,0.00008539541,0.001425838,0.0009158503,0.0002086691,0.005513761],"study_design_scores_gemma":[0.00002432755,0.0004796617,0.9885027,0.00005184579,0.0002583051,0.003327303,0.0007166718,0.0006128794,0.001932158,0.002627224,0.001444485,0.00002247117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948754,0.001187599,0.001225009,0.0005085632,0.00004844946,0.00002514395,0.0002516217,0.00001236802,0.001865735],"genre_scores_gemma":[0.9985369,0.0001226819,0.0007850681,0.0001389533,0.00001866727,0.00001337821,0.00008198236,0.000007737916,0.0002946655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004606392,"threshold_uncertainty_score":0.02436125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005775798769838401,"score_gpt":0.2490802935015994,"score_spread":0.243304494731761,"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."}}