{"id":"W4410903845","doi":"10.1007/s13235-025-00646-2","title":"Hyper Diversity, Species Richness, and Community Structure in ESS and Non-ESS Communities","year":2025,"lang":"en","type":"article","venue":"Dynamic Games and Applications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Cancer Institute; Horizon 2020; National Institutes of Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission","keywords":"Species richness; Diversity (politics); Geography; Community structure; Political science; Ecology; Biology","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":[0.0001884654,0.00007926489,0.0002458669,0.00005150438,0.000441833,0.000008533563,0.00006464469,0.0001047278,0.00003104494],"category_scores_gemma":[0.00002538714,0.00006132682,0.00001389362,0.00007366404,0.0007356443,0.00002469684,0.0003581061,0.0003609067,6.293656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008036784,"about_ca_system_score_gemma":0.000007445413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105113,"about_ca_topic_score_gemma":0.0002742551,"domain_scores_codex":[0.9995945,0.00007314883,0.0001209015,0.00008493504,0.00002251318,0.0001039932],"domain_scores_gemma":[0.9992276,0.000521655,0.00002115819,0.0001655461,0.00001969605,0.00004438074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002942015,0.0001727042,0.2801422,0.0004261467,0.00004365579,7.300787e-7,0.001395893,0.000005618057,0.0001005481,0.7143112,0.00004474884,0.003327075],"study_design_scores_gemma":[0.0005392368,0.00003572149,0.5793089,0.00007948537,0.00007559219,0.00001411844,0.003858343,0.01448746,0.0000042345,0.4009895,0.0005278467,0.00007957176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822107,0.0002994226,0.009650836,0.00242622,0.000009023433,0.0002263877,0.00002304511,0.00001389381,0.005140452],"genre_scores_gemma":[0.9981151,0.0003948487,0.0002778164,0.0006008558,0.000004965463,0.0000272827,0.00002649915,0.000002437514,0.0005501651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133217,"threshold_uncertainty_score":0.3398267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475728879945174,"score_gpt":0.277275493385213,"score_spread":0.2625182045857612,"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."}}