{"id":"W2143162265","doi":"10.1016/j.jtbi.2010.08.031","title":"Cascading extinctions, functional complementarity, and selection in two-trophic-level model communities: A trait-based mechanistic approach","year":2010,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ecosystem; Biodiversity; Complementarity (molecular biology); Trophic level; Trait; Ecology; Trophic cascade; Ecological network; Metacommunity; Ecosystem services; Biology; Food web; Environmental resource management; Environmental science; Computer science; Population","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":[0.002641698,0.0007230427,0.001205726,0.001107305,0.001290463,0.001696024,0.002520393,0.002131943,0.002911962],"category_scores_gemma":[0.005239023,0.000645516,0.001366144,0.00065663,0.002290488,0.002455559,0.001792779,0.001039238,0.0002158238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357271,"about_ca_system_score_gemma":0.0009073474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00719545,"about_ca_topic_score_gemma":0.007786175,"domain_scores_codex":[0.9994578,0.0002491341,0.00002064241,0.00009056313,0.00005092161,0.0001310679],"domain_scores_gemma":[0.9965585,0.001874886,0.0006303827,0.0002663893,0.0002381072,0.0004317666],"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":[0.0002022656,0.0002108753,0.01520424,0.0001384202,0.0002947905,0.0006781649,0.0004667664,0.7910826,0.00421619,0.1794349,0.000800138,0.007270705],"study_design_scores_gemma":[0.00004679535,0.00006313382,0.003362044,0.000008573235,0.00007091345,0.0001738759,0.0001298553,0.9074218,0.0001154178,0.088427,0.0001467005,0.00003391893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904282,0.0002006389,0.1028233,0.001009809,0.00002412878,0.00004827062,0.00008221286,0.000133135,0.005250216],"genre_scores_gemma":[0.9945516,0.000098818,0.00365437,0.00006370145,0.00001526942,0.00003071032,0.00001574768,0.00001509407,0.001554702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00719545,"threshold_uncertainty_score":0.01430714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08577350617515651,"score_gpt":0.2699820355992243,"score_spread":0.1842085294240678,"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."}}