{"id":"W2058521172","doi":"10.1073/pnas.1006872107","title":"Synergy of multiple partners, including freeloaders, increases host fitness in a multispecies mutualism","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Office of International Science and Engineering; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Mutualism (biology); Biology; Genetic Fitness; Ecology; Survivorship curve; Natural selection; Interspecific competition; Biological evolution; Population; Demography","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":[0.0007288033,0.00009644576,0.0002009812,0.00004798513,0.0002143083,0.00001660087,0.0006731568,0.00008278622,0.00002340946],"category_scores_gemma":[0.001104946,0.00003553263,0.00007190137,0.0007319726,0.0008988767,0.0002809018,0.0002449685,0.0001529108,4.244712e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008772583,"about_ca_system_score_gemma":0.000006987163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004634342,"about_ca_topic_score_gemma":0.0001733291,"domain_scores_codex":[0.9986684,0.000007192568,0.000308029,0.0001961626,0.000652121,0.0001681423],"domain_scores_gemma":[0.9989784,0.0004931605,0.0003411744,0.000002017035,0.0001566565,0.00002856995],"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":[0.00001271622,0.00005340227,0.152697,0.00001384251,0.000004910265,9.492087e-9,0.0001206365,0.000002607827,0.8385038,0.008137076,0.0001762454,0.0002777456],"study_design_scores_gemma":[0.0001013548,0.00003491013,0.7809874,0.0000738738,0.000003507983,0.00000276355,0.0008452348,0.0001645103,0.2149401,0.002386847,0.0003859327,0.00007356935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996829,0.0001157211,9.290491e-9,0.001554734,0.00001127997,0.0000946192,0.00007227804,0.0000087106,0.001313597],"genre_scores_gemma":[0.9995883,0.00005152738,0.0001574435,0.0000637248,0.00009177173,0.000006817751,3.758011e-7,4.309239e-7,0.00003957327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6282904,"threshold_uncertainty_score":0.3311948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09737191740024305,"score_gpt":0.293057816922603,"score_spread":0.19568589952236,"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."}}