{"id":"W4230942581","doi":"10.3410/f.718454650.793496363","title":"Faculty Opinions recommendation of Metagenomic approaches for defining the pathogenesis of inflammatory bowel diseases.","year":2014,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Metagenomics; Inflammatory Bowel Diseases; Inflammatory bowel disease; Pathogenesis; Computational biology; Medicine; Bioinformatics; Biology; Immunology; Internal medicine; Genetics; Disease; Gene","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":[0.003067175,0.001625049,0.001650298,0.003713613,0.0006647019,0.003366629,0.003029043,0.002141285,0.1820165],"category_scores_gemma":[0.02402271,0.0007303422,0.00223859,0.005019266,0.0003393555,0.001728087,0.002508974,0.001898036,0.1017469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118041,"about_ca_system_score_gemma":0.004215502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101031,"about_ca_topic_score_gemma":0.03074474,"domain_scores_codex":[0.9980551,0.0004140031,0.0002710853,0.0005076489,0.0005222381,0.0002300686],"domain_scores_gemma":[0.9914395,0.002476234,0.001008715,0.001766558,0.00204721,0.001261727],"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":[0.0001145716,0.00001793276,0.002413826,0.000887621,0.000126965,0.00001633444,0.000009800007,0.0001114115,0.0000986095,0.0002623104,0.9919544,0.00398624],"study_design_scores_gemma":[0.0007204181,0.00002840407,0.01081754,0.0008027097,0.000255613,0.00009867812,0.00003502434,0.0005320677,0.0004192567,0.001954113,0.9842945,0.00004167689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001499175,0.0001297724,0.0001985855,0.0002792627,0.00007394631,0.00002801433,0.9974014,0.0003833839,0.001355847],"genre_scores_gemma":[0.001252064,0.0002196716,0.001044493,0.0004152549,0.00005973011,0.0001449166,0.9943677,0.0002044281,0.00229182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1820165,"threshold_uncertainty_score":0.608906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417196347701713,"score_gpt":0.3040107407835807,"score_spread":0.2798387773065636,"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."}}