{"id":"W3178180339","doi":"10.1002/ecs2.3654","title":"Environmental variability affects optimal trade‐offs in ecological immunology","year":2021,"lang":"en","type":"article","venue":"Ecosphere","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Investment (military); Reproduction; Context (archaeology); Ecology; Abiotic component; Life history theory; Variable (mathematics); Immune system; Trade-off; Life history; Immunology; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001368175,0.0001151715,0.0001298984,0.000005976774,0.00003684145,0.000008834585,0.0001090004,0.000257459,0.001359235],"category_scores_gemma":[0.00005163214,0.0001209784,0.00007404743,0.00005042833,0.0000805854,0.000001895508,0.0001306217,0.0001379036,0.00006742876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278294,"about_ca_system_score_gemma":0.00006729641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002146436,"about_ca_topic_score_gemma":0.00009777854,"domain_scores_codex":[0.99904,0.0001651798,0.0001406492,0.0003600974,0.00005606254,0.0002380035],"domain_scores_gemma":[0.9996309,0.00001887058,0.00003021008,0.0002621834,0.000004431409,0.0000534401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001665205,0.001963184,0.0467912,0.00002827018,0.0001437693,0.0001697522,0.0001062552,0.00816423,0.9046608,0.001152169,0.01679088,0.01986294],"study_design_scores_gemma":[0.001378116,0.0004114873,0.8830253,0.000005007637,0.00001301421,0.0001058369,0.0002023032,0.003354568,0.0286128,0.0002780932,0.08224422,0.0003692438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886481,0.0009151052,0.001120751,0.0002633946,0.0001362975,0.00009544475,0.00001607571,0.000009602923,0.008795266],"genre_scores_gemma":[0.9953744,0.0002917813,0.002832872,0.0002581379,0.00006408642,0.000014721,0.0001590921,0.0000107585,0.0009941582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.876048,"threshold_uncertainty_score":0.9995537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003214295887205671,"score_gpt":0.2011771633754432,"score_spread":0.1979628674882375,"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."}}