{"id":"W1740564681","doi":"10.1016/j.celrep.2015.05.045","title":"Integrated Genomics of Crohn’s Disease Risk Variant Identifies a Role for CLEC12A in Antibacterial Autophagy","year":2015,"lang":"en","type":"article","venue":"Cell Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institutes of Health; Alberta Innovates; Alberta Innovates - Health Solutions; Universitair Medisch Centrum Groningen; National Institute of Allergy and Infectious Diseases; European Commission; Crohn's and Colitis Foundation; Wellcome Trust; Leona M. and Harry B. Helmsley Charitable Trust; Crohn's and Colitis Foundation of America","keywords":"Autophagy; ATG16L1; Ubiquitin ligase; Biology; Ubiquitin; Allele; Functional genomics; Cell biology; Genetics; Genomics; Gene; Genome","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":[0.0001597149,0.0003286513,0.0003640252,0.0004377741,0.0001644263,0.0002722353,0.0001323467,0.000434896,0.001236204],"category_scores_gemma":[0.0002510721,0.000145893,0.0003953601,0.0003316718,0.0001941078,0.00006866157,0.0002113501,0.0004456303,0.0001993135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256844,"about_ca_system_score_gemma":0.0001950269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206998,"about_ca_topic_score_gemma":0.002242567,"domain_scores_codex":[0.9998329,0.00002864798,0.00001697994,0.00005894856,0.0000413911,0.00002128218],"domain_scores_gemma":[0.9997863,0.00005942962,0.00007694234,0.00002420879,0.00001641196,0.0000365938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004972137,0.00003227413,0.004791887,0.00003590188,0.00004197687,0.0004108218,0.00003103928,0.0003396944,0.9889714,0.0001762159,0.0000963062,0.004575253],"study_design_scores_gemma":[0.00009723312,0.0005218649,0.1749681,0.00003288311,0.0002627729,0.004986489,0.00008834621,0.007525289,0.805212,0.0007094455,0.00555867,0.00003675092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991249,0.0003561749,0.005847565,0.000157405,0.00001950708,0.00002667243,0.001548366,0.0001301407,0.0006652312],"genre_scores_gemma":[0.9929129,0.0001535791,0.005334644,0.00009251814,0.000006370608,0.00001735989,0.0008365658,0.00003847931,0.0006075835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236204,"threshold_uncertainty_score":0.004135489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007277653453890835,"score_gpt":0.2539880478541198,"score_spread":0.2467103944002289,"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."}}