{"id":"W2008345880","doi":"10.1086/423827","title":"Ideal Free Distributions, Evolutionary Games, and Population Dynamics in Multiple‐Species Environments","year":2004,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Wien; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Grantová Agentura České Republiky","keywords":"Ideal free distribution; Interspecific competition; Population; Biology; Ecology; Competition (biology); Predation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008579065,0.0001180719,0.0001124547,0.00003153318,0.0001261918,0.00001502617,0.0001860427,0.00004925914,0.000003116454],"category_scores_gemma":[0.0001070336,0.00009777534,0.00003980442,0.0001283254,0.0004206539,0.000004853451,0.0001506344,0.0001194188,0.000003881235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194356,"about_ca_system_score_gemma":0.00002237766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428577,"about_ca_topic_score_gemma":0.003054855,"domain_scores_codex":[0.9992573,0.00005685434,0.0001635621,0.0002285865,0.0001128723,0.0001808479],"domain_scores_gemma":[0.9994931,0.00001473112,0.0001006602,0.0003340107,0.00001237088,0.00004509334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001157219,0.001109143,0.7972814,0.00003871541,0.0002246055,0.00002002021,0.0002864228,0.01239523,0.1004262,0.06142472,0.008045662,0.01759058],"study_design_scores_gemma":[0.001288588,0.0001059036,0.9888366,0.000006844601,0.00001132831,0.00002547898,0.0002659893,0.0039299,0.0001706942,0.001651848,0.003524818,0.0001820437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946244,0.0007223493,0.002304281,0.001770479,0.00005674058,0.0001406665,0.0002593974,0.000009466356,0.0001121582],"genre_scores_gemma":[0.9962907,0.0005507593,0.001009595,0.000263959,0.00005727477,0.00001060622,0.001512456,0.00001033547,0.000294329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915551,"threshold_uncertainty_score":0.3987163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004803511484334175,"score_gpt":0.2208306137440873,"score_spread":0.2160271022597531,"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."}}