{"id":"W4385142609","doi":"10.1016/j.tim.2023.06.009","title":"CIFAR humans and the microbiome: Banff meeting report","year":2023,"lang":"en","type":"article","venue":"Trends in Microbiology","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Biology; Microbiome; Computational biology; Evolutionary biology; Environmental ethics; Ecology; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002308729,0.0007606692,0.0002666149,0.001053782,0.001412679,0.002523693,0.0004492674,0.002977025,0.01822635],"category_scores_gemma":[0.001363656,0.0001763337,0.0002910538,0.0005146636,0.0005735852,0.0008537011,0.00239435,0.002864218,0.004517373],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915084,"about_ca_system_score_gemma":0.005929925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01074385,"about_ca_topic_score_gemma":0.0289679,"domain_scores_codex":[0.9991657,0.0001288694,0.00002457745,0.000110015,0.0003218832,0.0002490572],"domain_scores_gemma":[0.9980596,0.00013149,0.0001173054,0.00004963373,0.0004660017,0.001175996],"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":[0.0002468014,0.00007196291,0.002225444,0.0002996308,0.00002060131,0.0002734744,0.0001846912,0.00003905085,0.00162516,0.001696267,0.9505332,0.04278379],"study_design_scores_gemma":[0.00002012988,0.00006621271,0.006249977,0.0002275545,0.00001420455,0.0001456708,0.0003498446,0.00002113873,0.0005080894,0.0003196466,0.9920654,0.00001210954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01763195,0.1619392,0.001131163,0.4749079,0.2054667,0.0002640402,0.004801878,0.0001870047,0.1336703],"genre_scores_gemma":[0.1692277,0.1417492,0.004796075,0.1235453,0.1484549,0.000362985,0.006077224,0.0002024965,0.405584],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9980849,"threshold_uncertainty_score":0.06097323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492804079054336,"score_gpt":0.3134158409422493,"score_spread":0.298487800151706,"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."}}