{"id":"W2782570775","doi":"10.21307/jofnem-2017-082","title":"Modeling Host-Microbiome Interactions in <i>Caenorhabditis elegans</i>","year":2017,"lang":"en","type":"article","venue":"Journal of Nematology","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Queen's University","funders":"","keywords":"Microbiome; Caenorhabditis elegans; Biology; Host (biology); Computational biology; Model organism; Gut microbiome; Evolutionary biology; Genetics; Ecology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.000225444,0.0001329286,0.0002975564,0.0001273234,0.0001429896,0.00006009964,0.0004895743,0.000118675,0.00002379518],"category_scores_gemma":[0.000150849,0.0001289432,0.0001285067,0.00002634359,0.00009696271,0.00001749515,0.0001281363,0.0002506325,0.00001020682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001855015,"about_ca_system_score_gemma":0.00009515898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007331435,"about_ca_topic_score_gemma":0.0005490805,"domain_scores_codex":[0.9989833,0.00005609765,0.0004641754,0.0001722804,0.00008448134,0.0002396769],"domain_scores_gemma":[0.9989724,0.00001032235,0.0003617093,0.0004104037,0.0001658306,0.00007928985],"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":[0.00009665334,0.0001694801,0.01326099,0.00003286665,0.00009744069,0.0001665259,0.0004225216,0.002611341,0.9805642,0.000140649,0.002026359,0.0004109358],"study_design_scores_gemma":[0.01133984,0.002355692,0.04400237,0.0006022368,0.0003945677,0.03099826,0.0016938,0.01788148,0.789777,0.004330634,0.09439935,0.002224748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984837,0.0004707403,0.01197285,0.001328081,0.0009178097,0.00006111774,0.000005139959,0.000002933157,0.000404353],"genre_scores_gemma":[0.9969731,0.0003488451,0.001897831,0.00029187,0.0003004879,0.000001728256,0.000005032673,0.00002007349,0.0001610432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1907872,"threshold_uncertainty_score":0.5258152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720137825151207,"score_gpt":0.2884321343506037,"score_spread":0.2712307560990916,"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."}}