{"id":"W3128465951","doi":"10.1016/j.cell.2021.01.009","title":"Training the metaorganism: the microbial counterpart","year":2021,"lang":"en","type":"letter","venue":"Cell","topic":"Immune responses and vaccinations","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University; Christie (Canada)","funders":"Canadian Institutes of Health Research; Kenneth Rainin Foundation; Bill and Melinda Gates Foundation","keywords":"Biology; Innate immune system; Heterologous; Immunity; Immunology; Immune system; Immunization; Immunological memory; Colonisation resistance; Resistance (ecology); Colonization; Microbiology; Genetics; Ecology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003150139,0.0002613284,0.0003185323,0.00004569951,0.0006413484,0.00008659641,0.0007045486,0.000701436,0.004115732],"category_scores_gemma":[0.0000496318,0.0001416901,0.0002869059,0.0001265651,0.0001786214,0.0000266597,0.0001630865,0.002272607,0.001490483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003592774,"about_ca_system_score_gemma":0.0002632928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003673118,"about_ca_topic_score_gemma":0.000008815085,"domain_scores_codex":[0.9983159,0.0006420704,0.0002700737,0.000289304,0.00003961751,0.0004430129],"domain_scores_gemma":[0.9983789,0.0006857299,0.0001598822,0.0006868637,0.00008363071,0.000004932605],"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":[0.000009074596,0.0000129551,5.194287e-7,0.00001317144,0.0001847298,0.00003208927,0.001184137,3.372518e-7,0.06663018,0.00002118954,0.9315418,0.0003698102],"study_design_scores_gemma":[0.0003012637,0.00002177523,0.00002351595,0.00001930259,0.0002118425,0.0002632639,0.0006056743,3.746331e-7,0.02684193,0.00002084683,0.9715136,0.0001765705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002491813,0.02086505,0.00009676756,0.950035,0.006509884,0.00050899,0.0001907118,0.00008015421,0.01922163],"genre_scores_gemma":[0.01945326,0.0003187064,0.00001466564,0.6558519,0.001300937,0.00005272067,0.001233472,0.00007425265,0.3217001],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3024784,"threshold_uncertainty_score":0.9992869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692883197776088,"score_gpt":0.2380957870890837,"score_spread":0.2111669551113228,"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."}}