{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005454887,0.0001960271,0.0003998825,0.0008061443,0.0007422889,0.0007176357,0.0002615165,0.0002932859,0.0008753013],"category_scores_gemma":[0.001590615,0.0001689979,0.0004234827,0.0005774276,0.0002775336,0.0008515757,0.0009901008,0.0003187876,0.0001606314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782532,"about_ca_system_score_gemma":0.0001999105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002781858,"about_ca_topic_score_gemma":0.009729289,"domain_scores_codex":[0.9996737,0.00008624417,0.00002110708,0.0001101049,0.0000581545,0.00005069598],"domain_scores_gemma":[0.9990749,0.000311702,0.0002445352,0.00011899,0.00006134406,0.0001885367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006487916,0.0001609535,0.8814428,0.0003211092,0.000457717,0.0005580319,0.0005461627,0.007058932,0.07619807,0.0008102241,0.001934262,0.02986306],"study_design_scores_gemma":[0.00001108947,0.0001069126,0.9814859,0.00001463563,0.0001139296,0.0003529221,0.0003103299,0.01179668,0.002411946,0.00112128,0.002256447,0.00001800783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986444,0.0001730865,0.0004677662,0.00003768676,0.00000242545,0.000002073767,0.0003635467,0.00002002253,0.0002889921],"genre_scores_gemma":[0.9973411,0.00009639467,0.001081095,0.00002560477,0.000005350876,0.000005535166,0.001255389,0.000004980701,0.0001844878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002781858,"threshold_uncertainty_score":0.005531371,"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."}}