{"id":"W4366771712","doi":"10.3390/microorganisms11041078","title":"In Silico Analysis of Changes in Predicted Metabolic Capabilities of Intestinal Microbiota after Fecal Microbial Transplantation for Treatment of Recurrent Clostridioides difficile Infection","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Calgary; University of Alberta","funders":"Alberta Health Services","keywords":"Clostridioides; Fecal bacteriotherapy; Feces; In silico; Microbiology; Biology; Transplantation; Clostridium difficile; Medicine; Internal medicine; Antibiotics; Genetics","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":[0.0007310629,0.0006842304,0.0008473675,0.0006771504,0.0002801412,0.0007899582,0.0004285923,0.0004066239,0.00127037],"category_scores_gemma":[0.001051943,0.0002011391,0.001339139,0.0004242597,0.0001312281,0.000227084,0.0003165504,0.0003146707,0.0003173999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696684,"about_ca_system_score_gemma":0.0007047582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094133,"about_ca_topic_score_gemma":0.002614176,"domain_scores_codex":[0.9997573,0.00009021981,0.00001630777,0.00006265289,0.00003920082,0.00003424952],"domain_scores_gemma":[0.9996963,0.0001873422,0.00005092779,0.0000130058,0.00002543543,0.00002716304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005339862,0.001842346,0.2224236,0.001554104,0.002405125,0.0009164123,0.0001462761,0.5381506,0.1732959,0.0008149645,0.001824277,0.05128662],"study_design_scores_gemma":[0.0001101947,0.001520331,0.05003884,0.00005427366,0.0007665483,0.0002840489,0.0001169097,0.9292027,0.01568681,0.0005829935,0.001598442,0.00003792773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847991,0.000760965,0.01025958,0.0001596358,0.00003744868,0.00005807373,0.002667297,0.0004168408,0.0008410039],"genre_scores_gemma":[0.9795911,0.0003864261,0.01304943,0.00007213165,0.0000114403,0.00007123406,0.006432542,0.00005535364,0.0003303721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002094133,"threshold_uncertainty_score":0.004249871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123728270175096,"score_gpt":0.2974907160890515,"score_spread":0.2762534333873006,"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."}}