{"id":"W2691181465","doi":"10.1186/s40168-017-0281-7","title":"How holobionts get sick—toward a unifying scheme of disease","year":2017,"lang":"en","type":"letter","venue":"Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Azrieli Foundation; Israel Science Foundation; International Development Research Centre","keywords":"Holobiont; Microbiome; Biology; Microbial ecology; Crosstalk; Ecology; Host (biology); Genome; Evolutionary biology; Human microbiome; Disease; Computational biology; Bacteria; Genetics; Symbiosis; Medicine; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002647607,0.0007226928,0.001378909,0.0007135934,0.002849929,0.002911916,0.001215145,0.01858461,0.002703226],"category_scores_gemma":[0.00935822,0.0003625244,0.0007174115,0.0003886173,0.008543612,0.009574526,0.00285771,0.03045617,0.003168651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710602,"about_ca_system_score_gemma":0.001901691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009636,"about_ca_topic_score_gemma":0.001323996,"domain_scores_codex":[0.9983435,0.0006827772,0.0001576273,0.0003016176,0.0003231419,0.0001914472],"domain_scores_gemma":[0.9964218,0.002219647,0.0002182011,0.0002509946,0.0003822777,0.0005071518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003864341,0.0002719641,0.004392804,0.0006439643,0.0001058086,0.01658392,0.001759164,0.0003660439,0.00239701,0.1004829,0.759048,0.113562],"study_design_scores_gemma":[0.0002560981,0.0002275769,0.00187879,0.0007921453,0.00006778253,0.02501502,0.001505892,0.001137307,0.000832188,0.2362001,0.7319542,0.0001330374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001492359,0.02486739,0.0009735256,0.9529297,0.01726403,0.00001507043,0.00002136512,0.00006403551,0.002372533],"genre_scores_gemma":[0.0303471,0.0277594,0.002387494,0.8452737,0.08986666,0.00006307959,0.00003647659,0.0000517184,0.00421441],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01858461,"threshold_uncertainty_score":0.01966685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344638241162552,"score_gpt":0.2704244551480007,"score_spread":0.2469780727363752,"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."}}