{"id":"W2612572849","doi":"10.1016/j.tpb.2017.04.003","title":"Unlimited niche packing in a Lotka–Volterra competition game","year":2017,"lang":"en","type":"article","venue":"Theoretical Population Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University; Wilfrid Laurier University","funders":"H2020 Marie Skłodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Niche; Competition (biology); Coexistence theory; Character displacement; Maxima and minima; Population; Ecology; Biology; Mathematics; Habitat","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":[0.001557762,0.0006166788,0.002090606,0.00106574,0.001344265,0.00261052,0.00199856,0.002666745,0.00418886],"category_scores_gemma":[0.006700698,0.0009803398,0.0009125668,0.0006886094,0.002778983,0.003285352,0.001844776,0.00156634,0.000433131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041608,"about_ca_system_score_gemma":0.000692445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180653,"about_ca_topic_score_gemma":0.001621913,"domain_scores_codex":[0.9992643,0.0003344236,0.00003390856,0.00008818122,0.0001163837,0.0001627673],"domain_scores_gemma":[0.9938166,0.004447155,0.0004559381,0.0002457089,0.0001883673,0.0008462711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000564525,0.000221676,0.002065987,0.0002027705,0.0001561342,0.001017507,0.0003971748,0.3184683,0.007347906,0.6609632,0.002702314,0.005892465],"study_design_scores_gemma":[0.00006856232,0.00005889712,0.000728999,0.00001482098,0.00002731296,0.0002748648,0.0000745244,0.7831782,0.0002455056,0.2150164,0.0002744876,0.00003744278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608261,0.000597538,0.1166408,0.001533277,0.00007807598,0.00003867342,0.0001292645,0.0001237444,0.02003245],"genre_scores_gemma":[0.9914379,0.000150956,0.004432582,0.00008718729,0.00003433388,0.00003669365,0.00003661459,0.00002933178,0.003754433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00418886,"threshold_uncertainty_score":0.01401317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145900139357402,"score_gpt":0.3088728571579,"score_spread":0.297413855764326,"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."}}