{"id":"W2972543876","doi":"10.1111/evo.13840","title":"Partitioning the influence of ecology across scales on parasite evolution","year":2019,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Human Frontier Science Program","keywords":"Biology; Evolutionary ecology; Ecology; Transmission (telecommunications); Host (biology); Vector (molecular biology); Trait; Population; Evolutionary dynamics; Investment (military); Malaria; Population ecology; Evolutionary biology; Demography; Genetics; Gene; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387687,0.0004689388,0.0005958427,0.0004251111,0.0004385787,0.001912968,0.0006290882,0.0009441615,0.001548768],"category_scores_gemma":[0.005757227,0.0003745758,0.0004641004,0.0003271439,0.001422425,0.001859555,0.001415207,0.0007145491,0.0002452387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088738,"about_ca_system_score_gemma":0.0004996305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002950667,"about_ca_topic_score_gemma":0.003423997,"domain_scores_codex":[0.9994324,0.0002831661,0.00001884172,0.0001309883,0.00004697343,0.00008767318],"domain_scores_gemma":[0.9981512,0.001083261,0.0003404724,0.000158322,0.00007995885,0.0001867012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003857778,0.0002623035,0.2095942,0.0002439478,0.000395912,0.0009342989,0.0007285809,0.5721158,0.07032275,0.0974039,0.0007454921,0.04686699],"study_design_scores_gemma":[0.00004736907,0.0002548557,0.09202835,0.00003101356,0.0001056512,0.0002528024,0.0004126402,0.8404361,0.002548061,0.06246503,0.001342208,0.00007586654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619026,0.0003693374,0.03177859,0.000724259,0.00001714207,0.00002243928,0.00008271817,0.00004269165,0.005060309],"genre_scores_gemma":[0.9964917,0.0001542374,0.002725483,0.00006625087,0.00000702739,0.00001290254,0.00001855119,0.00001189994,0.0005118753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002950667,"threshold_uncertainty_score":0.007899404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003475700582556964,"score_gpt":0.2529871321612511,"score_spread":0.2495114315786942,"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."}}