{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006674835,0.00003036346,0.00007191698,0.000002739487,0.0003006982,0.000004022489,0.0001233009,0.00002006556,0.0000513218],"category_scores_gemma":[0.000006188158,0.000009312392,0.00001590165,0.00004780959,0.0003416359,0.00000967038,0.0001324223,0.00003471268,0.000005106714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005791549,"about_ca_system_score_gemma":0.000001744694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005471679,"about_ca_topic_score_gemma":0.3923453,"domain_scores_codex":[0.9997097,0.00006254769,0.00007068692,0.00003365707,0.00003048279,0.00009290249],"domain_scores_gemma":[0.9994385,0.0005025164,0.00003172778,0.000006353051,0.00001595421,0.00000496609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008482507,0.00001662637,0.9890012,5.256807e-7,0.00000250307,0.00000259565,0.00006643587,0.000001449758,0.003936523,0.006484733,0.00016345,0.0003155369],"study_design_scores_gemma":[0.00003409327,0.00008074047,0.99137,0.000001950889,0.000001353063,0.000001712268,0.001780714,0.000002121307,0.0001750264,0.004514761,0.002012115,0.00002537345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893742,0.0002126609,2.340853e-8,0.0007464977,0.0000219965,0.00003526649,0.00001541187,0.000005009046,0.009588993],"genre_scores_gemma":[0.9997168,0.0001270109,0.000005143276,0.00003913307,0.00002083197,0.000001919873,0.000002716885,5.68337e-8,0.00008636612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3868736,"threshold_uncertainty_score":0.8271579,"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."}}