{"id":"W4394487465","doi":"10.6084/m9.figshare.20701291","title":"Interactions between medications and the gut microbiome in inflammatory bowel disease: meta data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microscopic Colitis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflammatory bowel disease; Microbiome; Gut microbiome; Metagenomics; Disease; Medicine; Inflammatory Bowel Diseases; Meta-analysis; Computational biology; Bioinformatics; Immunology; Biology; Internal medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001865338,0.0002418722,0.0004843384,0.000256107,0.000151709,0.00006327496,0.0009110307,0.0001020906,0.7789279],"category_scores_gemma":[0.001960432,0.0001840578,0.0001020627,0.000206986,0.00006033163,0.000113978,0.002076062,0.0009356989,0.0004008328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126637,"about_ca_system_score_gemma":0.0005764469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002626383,"about_ca_topic_score_gemma":0.0006366554,"domain_scores_codex":[0.9983873,0.000167401,0.0004281741,0.0005238157,0.0002708066,0.0002224955],"domain_scores_gemma":[0.9965248,0.0006893563,0.00022329,0.00232362,0.00004688596,0.0001920647],"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":[0.00002235087,0.00003070973,0.00004392295,0.0008175246,0.0005476545,0.00007111304,0.00003007202,7.820258e-8,0.000001362998,0.000001040659,0.9983402,0.00009395959],"study_design_scores_gemma":[0.0008454497,0.000007334759,0.01005265,0.001050396,0.001886879,0.00003122802,0.0000202107,0.000005053565,4.170459e-7,0.000007345296,0.9859434,0.0001495904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008147945,0.005187517,6.176711e-8,0.003020997,0.0000996323,0.001031955,0.9905677,0.00002736181,0.00005660344],"genre_scores_gemma":[0.00002660539,0.0001710345,0.000008316219,0.0006339191,0.0002755171,0.001130323,0.9970362,0.00002361237,0.0006944408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.778527,"threshold_uncertainty_score":0.7505659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07748743604615228,"score_gpt":0.3508073671337661,"score_spread":0.2733199310876139,"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."}}