{"id":"W3026511867","doi":"10.1071/ma20027","title":"The future of faecal microbiota transplantation in gastrointestinal illness","year":2020,"lang":"en","type":"article","venue":"Microbiology Australia","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Microbiome; Biology; Gut microbiome; Gastrointestinal tract; Immune system; Fecal bacteriotherapy; Bacteria; Transplantation; Human gastrointestinal tract; Gut bacteria; Immunology; Microbiology; Medicine; Bioinformatics; Antibiotics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000142686,0.00015777,0.0001746895,0.00002408225,0.00008032643,0.000008199118,0.0002660418,0.0001731481,0.00003547911],"category_scores_gemma":[0.00001321748,0.0001222975,0.0000794095,0.0001112884,0.0002164457,0.000002554364,0.00004076229,0.0002076311,0.00002414736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001084546,"about_ca_system_score_gemma":0.00006516982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003431892,"about_ca_topic_score_gemma":0.0002929555,"domain_scores_codex":[0.9988911,0.0001212132,0.0003268405,0.000301735,0.00002153512,0.0003375754],"domain_scores_gemma":[0.9996065,0.00001486335,0.0001037269,0.0001645913,0.00004709761,0.00006323242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002955178,0.00002732551,0.01048441,0.00005705314,0.00001148382,0.00000813335,0.0001252972,0.00001960311,0.9830652,0.00009853741,0.005628537,0.0001788847],"study_design_scores_gemma":[0.002271161,0.000960135,0.07608014,0.0000836305,0.00002950541,0.0009979602,0.0005597254,0.000007125965,0.8030599,0.00002347184,0.1154785,0.0004487897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966878,0.0003712623,0.0002060335,0.002211063,0.0001514245,0.0001963254,0.0001450329,0.000006794764,0.00002429065],"genre_scores_gemma":[0.9980646,0.0001822547,0.0005806321,0.0003810445,0.000212096,0.000005696395,0.0003803085,0.00001193707,0.0001813967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800053,"threshold_uncertainty_score":0.4987148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398906005578943,"score_gpt":0.2655102481359968,"score_spread":0.2515211880802074,"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."}}