{"id":"W6977021068","doi":"10.6084/m9.figshare.20701291.v1","title":"Interactions between medications and the gut microbiome in inflammatory bowel disease: meta data","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probiotic; Microbiome; Ulcerative colitis; Inflammatory bowel disease; Feces; Gut microbiome; Disease; Metadata","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543964,0.001101403,0.001453365,0.002510876,0.0004837479,0.001624886,0.001794209,0.001312008,0.07906644],"category_scores_gemma":[0.01224544,0.0006369991,0.003294284,0.004458576,0.0001870898,0.0007087681,0.001763521,0.001337455,0.02001699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008930665,"about_ca_system_score_gemma":0.002387263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667269,"about_ca_topic_score_gemma":0.03248011,"domain_scores_codex":[0.9986533,0.00031534,0.0002734688,0.0004040996,0.0002145567,0.0001392466],"domain_scores_gemma":[0.9950139,0.002841395,0.0006677753,0.0006869334,0.0005522795,0.0002377186],"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":[0.0007361611,0.00006339158,0.01645187,0.01401489,0.002733147,0.0001049007,0.00007203726,0.001420434,0.0004687042,0.0007911281,0.9533809,0.009762308],"study_design_scores_gemma":[0.003702035,0.0002017155,0.07826631,0.007262882,0.004487255,0.0004300633,0.000229196,0.001578109,0.0009168959,0.00317012,0.8996029,0.0001526241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002340937,0.0001973829,0.00008340599,0.00006222543,0.0000150853,0.00001296239,0.9990926,0.00008318643,0.000219111],"genre_scores_gemma":[0.003422926,0.0003721421,0.0009504641,0.0001945638,0.00001858893,0.0003339252,0.9936724,0.00009367128,0.0009412912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07906644,"threshold_uncertainty_score":0.2645036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005858996095549,"score_gpt":0.2595558969183121,"score_spread":0.2094973069573566,"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."}}