{"id":"W2485726304","doi":"10.1016/j.jtbi.2016.07.026","title":"Geometrical envelopes: Extending graphical contemporary niche theory to communities and eco-evolutionary dynamics","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation of Sri Lanka; U.S. Department of Homeland Security; National Institute for Mathematical and Biological Synthesis; University of Tennessee; Simons Foundation; U.S. Department of Agriculture","keywords":"Ecology; Context (archaeology); Adaptation (eye); Niche; Theoretical ecology; Structuring; Niche construction; Evolutionary ecology; Niche differentiation; Evolutionary dynamics; Niche segregation; Competition (biology); Computer science; Ecological niche; Biology; Sociology; Economics; Habitat","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":[0.001010761,0.0001670152,0.0002921859,0.0002393443,0.00009117075,0.0000128915,0.0003408674,0.000282653,0.00008686706],"category_scores_gemma":[0.0008268082,0.0001046737,0.0001407174,0.0001426773,0.001287533,0.000006317961,0.0003025806,0.0002041282,0.000007103817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004399294,"about_ca_system_score_gemma":0.0001048636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001913304,"about_ca_topic_score_gemma":0.000004649785,"domain_scores_codex":[0.9984506,0.0005228472,0.0004648871,0.0001774715,0.0001144479,0.0002697667],"domain_scores_gemma":[0.9986665,0.0004998386,0.0001515374,0.0002380313,0.0001863534,0.000257689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009152145,0.0001240025,0.02624629,0.000009370355,0.0001621089,0.000009835496,0.00005609643,0.000006169452,0.03497968,0.9238194,0.001648764,0.01202307],"study_design_scores_gemma":[0.005224967,0.01001338,0.05426061,0.000240275,0.0001619724,0.002443565,0.002178137,0.001034511,0.004955329,0.8549182,0.06321716,0.001351892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7252412,0.002398839,0.2658101,0.004535195,0.0003522847,0.0001226549,0.00008052593,0.00001045425,0.001448676],"genre_scores_gemma":[0.9946023,0.0009454123,0.003191465,0.0009068999,0.0001859128,0.00000313466,0.00002123898,0.00001623271,0.0001273814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693611,"threshold_uncertainty_score":0.4743968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009678417689724392,"score_gpt":0.2646728819988547,"score_spread":0.2549944643091303,"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."}}