{"id":"W2783861641","doi":"10.1186/s40168-018-0398-3","title":"Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn’s disease","year":2018,"lang":"en","type":"article","venue":"Microbiome","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Nova Scotia Health Research Foundation; Dalhousie University; North American Society for Pediatric Gastroenterology, Hepatology and Nutrition; IWK Health Centre; Crohn's and Colitis Foundation; Natural Sciences and Engineering Research Council of Canada; Dalhousie Medical Research Foundation; Crohn's and Colitis Foundation of America","keywords":"Disease; Medical microbiology; Omics; Biology; Crohn's disease; Bioinformatics; Immunology; Medicine; Internal medicine","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":[0.001835492,0.0008002445,0.0008846342,0.001461471,0.0003846909,0.001113311,0.0003555467,0.000682472,0.001053259],"category_scores_gemma":[0.003714484,0.0001682191,0.001394987,0.001531816,0.0003688044,0.0006214218,0.0008806784,0.0008445816,0.0002023699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007063238,"about_ca_system_score_gemma":0.0004139616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001660579,"about_ca_topic_score_gemma":0.002083584,"domain_scores_codex":[0.9990676,0.0003651775,0.0001004475,0.0002115411,0.0001266493,0.0001286411],"domain_scores_gemma":[0.9978727,0.0009844629,0.0006935786,0.0001530729,0.0001385306,0.0001575468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006757879,0.00006471216,0.9792284,0.0001010466,0.0004248097,0.00006050134,0.00007212062,0.003250408,0.003513689,0.00007585269,0.0003483253,0.01218425],"study_design_scores_gemma":[0.00003009198,0.0002601624,0.9676626,0.00008790447,0.0003472441,0.0002982646,0.0002863908,0.02686607,0.002074818,0.00108408,0.0009818961,0.00002039048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99111,0.001863324,0.002942692,0.0005292786,0.00002424274,0.0000271036,0.003036079,0.00004149459,0.0004258714],"genre_scores_gemma":[0.9929895,0.0003672886,0.003422651,0.0001107034,0.00002442702,0.00002834784,0.002978795,0.00001084201,0.00006744414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835492,"threshold_uncertainty_score":0.009707153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330898205678536,"score_gpt":0.2537095894101429,"score_spread":0.2404006073533576,"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."}}