{"id":"W2028577550","doi":"10.1016/j.ecolmodel.2004.12.018","title":"Topological structure and interaction strengths in model food webs","year":2005,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"A priori and a posteriori; Computer science; Range (aeronautics); Measure (data warehouse); Food web; Process (computing); Consistency (knowledge bases); Statistical physics; Ecology; Topology (electrical circuits); Theoretical computer science; Mathematics; Artificial intelligence; Predation; Data mining; Physics; Biology; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492544,0.0006062952,0.0006869081,0.001854235,0.0007793148,0.002052952,0.001174616,0.001393051,0.002170554],"category_scores_gemma":[0.01131371,0.0007965614,0.0007169514,0.001032178,0.001901855,0.003608851,0.001341576,0.0008801033,0.0002346118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007554085,"about_ca_system_score_gemma":0.0003784075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393688,"about_ca_topic_score_gemma":0.001766172,"domain_scores_codex":[0.9995443,0.0003013148,0.00001538944,0.00004803473,0.00005132827,0.00003953445],"domain_scores_gemma":[0.9933518,0.00504316,0.0007024701,0.0002787917,0.0002175273,0.0004063907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001215867,0.00007356625,0.006068384,0.00008650171,0.0001170451,0.0001286019,0.0002376014,0.7912405,0.001344663,0.1954659,0.0004726233,0.004642988],"study_design_scores_gemma":[0.00003393701,0.00002399564,0.00145634,0.00001073483,0.00003610805,0.0000585054,0.00006663447,0.8353065,0.0001011748,0.1626868,0.0002024236,0.00001698546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009734,0.00030636,0.0926411,0.0006391703,0.00002424213,0.00002329525,0.0001183068,0.00006678577,0.005207257],"genre_scores_gemma":[0.9933477,0.0001294253,0.005598872,0.00002192355,0.00001538746,0.00003154412,0.00003696635,0.0000205015,0.0007975992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002170554,"threshold_uncertainty_score":0.007893443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472776406317881,"score_gpt":0.3062340652306751,"score_spread":0.2715063011674964,"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."}}