{"id":"W2148489033","doi":"10.1016/j.jtbi.2003.11.011","title":"Emergence of non-random structure in local food webs generated from randomly structured regional webs","year":2003,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food web; Niche; Extinction (optical mineralogy); Ecology; Species richness; Food chain; Ecosystem; Stability (learning theory); Computer science; Biology","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":[0.0008056847,0.0001719543,0.0003902717,0.0008419497,0.0004037195,0.0008099739,0.0005811251,0.0005772854,0.001334645],"category_scores_gemma":[0.00620917,0.0004498962,0.0004565787,0.0002755018,0.0008247262,0.0008726502,0.0006542366,0.0006952218,0.0001673724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746708,"about_ca_system_score_gemma":0.0001964466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007784342,"about_ca_topic_score_gemma":0.001482323,"domain_scores_codex":[0.9998459,0.00005964495,0.00000577981,0.00003799418,0.0000249448,0.000025843],"domain_scores_gemma":[0.9959387,0.002334221,0.0006072393,0.0003660261,0.0003014736,0.0004523911],"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":[0.001760727,0.0006208121,0.1777103,0.0005381416,0.0009249102,0.004720467,0.002582505,0.5203031,0.09422161,0.149608,0.00834115,0.03866825],"study_design_scores_gemma":[0.000184802,0.0001920145,0.05998085,0.00002929198,0.00009086983,0.0006353487,0.0005069029,0.8957646,0.002321185,0.03971959,0.0005106933,0.00006379811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926509,0.0000551793,0.006428737,0.00008405385,0.000007038098,0.00000663704,0.00003907935,0.00004516791,0.0006832165],"genre_scores_gemma":[0.9983066,0.0000256378,0.001384734,0.0000143524,0.000004712633,0.000005599337,0.00005099677,0.00001430067,0.0001930149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001334645,"threshold_uncertainty_score":0.004464805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722711040474503,"score_gpt":0.2174197859826566,"score_spread":0.2001926755779116,"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."}}