{"id":"W4245087986","doi":"10.1158/2159-8290.cd-nd2019-004","title":"Microbiota Manipulated to Enhance Immunity","year":2019,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Clostridium difficile and Clostridium perfringens research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Immunity; Microbiome; Fecal bacteriotherapy; Host (biology); Biology; Bacteria; Computational biology; Immunology; Microbiology; Immune system; Bioinformatics; Ecology; Genetics; Antibiotics; Clostridium difficile","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001032413,0.0001794187,0.0003155625,0.0001203363,0.00005740952,0.0000641759,0.0001886624,0.00009260221,0.001360847],"category_scores_gemma":[0.00003846466,0.0001591418,0.0001257535,0.0004573286,0.00003824228,0.0001370918,0.0001620261,0.0003270467,0.001432719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360894,"about_ca_system_score_gemma":0.0003351476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007389304,"about_ca_topic_score_gemma":0.00004080632,"domain_scores_codex":[0.998658,0.0000267544,0.000220274,0.0003920501,0.0002801354,0.000422757],"domain_scores_gemma":[0.9989624,0.00003591904,0.00004027601,0.0006554932,0.0001103637,0.0001955357],"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":[0.0005021543,0.0001260422,0.009316552,0.0001433492,0.00007649244,0.00002047452,0.00008398391,0.00005005163,0.9802479,0.00004660589,0.006585811,0.002800578],"study_design_scores_gemma":[0.0006918822,0.0002716251,0.02902997,0.0003196028,0.00004401516,0.00001751307,0.0001449403,0.000036795,0.9474878,0.000007272586,0.02170278,0.0002458554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893683,0.0009948282,0.00003560715,0.001670585,0.0004207227,0.0006762871,0.00006182826,0.00005504905,0.006716796],"genre_scores_gemma":[0.9667931,0.0002071006,0.00003315645,0.0009141123,0.0002097179,0.00004354219,0.00004685044,0.00003574153,0.03171672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03276016,"threshold_uncertainty_score":0.9995521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045435970166218,"score_gpt":0.3341602367804368,"score_spread":0.3137058770787746,"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."}}