{"id":"W2946180729","doi":"10.1002/bies.201800256","title":"Evolutionary “Experiments” in Symbiosis: The Study of Model Animals Provides Insights into the Mechanisms Underlying the Diversity of Host–Microbe Interactions","year":2019,"lang":"en","type":"review","venue":"BioEssays","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Deutsche Forschungsgemeinschaft; National Institute of General Medical Sciences; Canadian Institute for Advanced Research","keywords":"Biology; Host (biology); Construct (python library); Diversity (politics); Evolutionary biology; Mechanism (biology); Model organism; Computational biology; Ecology; Genetics; Computer science; Gene; Epistemology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004416465,0.0002796791,0.0006878771,0.00003330475,0.0006969819,0.00006102667,0.001190381,0.0001403072,0.00003852367],"category_scores_gemma":[0.0000329027,0.0000655721,0.0003034654,0.0004786128,0.0001880778,0.0001384215,0.0008769711,0.0002584022,0.000006518098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007618397,"about_ca_system_score_gemma":0.00004716682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003705032,"about_ca_topic_score_gemma":0.001566572,"domain_scores_codex":[0.9980122,0.0005503375,0.000611069,0.0003397148,0.0002903491,0.000196256],"domain_scores_gemma":[0.9985543,0.0005070569,0.0005958005,0.0002176929,0.0001034037,0.00002175417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002938002,0.006430398,0.001697747,0.004681276,0.00208324,0.000007695547,0.06007294,0.00004893852,0.5645149,0.02638729,0.0008250761,0.3329567],"study_design_scores_gemma":[0.003058439,0.01513176,0.08889147,0.04976391,0.00986198,0.00007597416,0.381106,0.001569195,0.009895175,0.02855434,0.4044419,0.007649855],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4447408,0.5522395,0.000001311516,0.0002100336,0.000328857,0.002263873,0.00005505299,0.00001607468,0.0001444772],"genre_scores_gemma":[0.7798797,0.2199097,0.000009197862,0.00004048152,0.00002937803,0.00009054107,0.00001109188,0.000001825038,0.00002807062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5546197,"threshold_uncertainty_score":0.5600925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589277003300223,"score_gpt":0.3319374348341261,"score_spread":0.1730097345041038,"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."}}