{"id":"W2057205976","doi":"10.1890/05-0173","title":"THE CONSEQUENCES OF GENETIC DIVERSITY IN COMPETITIVE COMMUNITIES","year":2006,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center For Environmental Assessment; National Science Foundation","keywords":"Genetic diversity; Biology; Ecology; Competition (biology); Genetic divergence; Range (aeronautics); Niche; Ecosystem diversity; Coexistence theory; Selection (genetic algorithm); Species diversity; Diversity (politics); Biodiversity; Natural selection; Evolutionary biology; Interspecific competition; Divergence (linguistics); Genetic similarity; Genetic variation; Population; Genetics","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":[0.002523215,0.0004409632,0.0005014247,0.001132728,0.001300277,0.001318336,0.0006401181,0.001060915,0.00146317],"category_scores_gemma":[0.009519015,0.0003386501,0.0004422957,0.0005568264,0.002733532,0.001412165,0.00233359,0.0008335074,0.000154498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012579,"about_ca_system_score_gemma":0.0004552291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834104,"about_ca_topic_score_gemma":0.003703322,"domain_scores_codex":[0.9976079,0.001175984,0.0001032791,0.0004028613,0.0003974802,0.0003125057],"domain_scores_gemma":[0.9926708,0.003721097,0.00127451,0.0009053806,0.0005686411,0.0008596613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002087878,0.0007208642,0.5907877,0.0005157717,0.001745247,0.002866247,0.002582124,0.106167,0.1784272,0.05672606,0.001043118,0.05633085],"study_design_scores_gemma":[0.0002003302,0.001386448,0.7047495,0.0000757769,0.000439254,0.002944648,0.002125279,0.1077544,0.01251691,0.1651177,0.002482712,0.0002071247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942266,0.0001519444,0.003581006,0.0002248426,0.000008435254,0.000007147637,0.00004940287,0.00002108837,0.00172955],"genre_scores_gemma":[0.9993252,0.00002893749,0.000469053,0.00003529858,0.000004907291,0.000003891627,0.00002076498,0.000003026562,0.0001089611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002523215,"threshold_uncertainty_score":0.01334417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470299790066091,"score_gpt":0.1999910695939615,"score_spread":0.1529610905873524,"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."}}