{"id":"W2027210102","doi":"10.1098/rstb.2008.0286","title":"Predicting invasion success in complex ecological networks","year":2009,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Intel Corporation; International Business Machines Corporation; National Science Foundation","keywords":"Trophic level; Ecology; Biology; Generalist and specialist species; Predation; Range (aeronautics); Ecological network; Population; Generality; Food web; Invasive species; Niche; Omnivore; Introduced species; Habitat; Community; Herbivore; Ecosystem","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":[0.0006206923,0.0001794942,0.0003110418,0.000006895043,0.0008769486,0.0000381568,0.0007616517,0.0002287814,0.0002471736],"category_scores_gemma":[0.00007216565,0.00005365011,0.0003894232,0.0008183406,0.0008432179,0.00007568154,0.00006150648,0.0003760137,0.000002326681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003000805,"about_ca_system_score_gemma":0.000006855728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001610228,"about_ca_topic_score_gemma":0.0002411224,"domain_scores_codex":[0.9983241,0.0001633635,0.0003708872,0.0004052355,0.0003027054,0.0004337227],"domain_scores_gemma":[0.9992885,0.0004480869,0.0001148516,0.0000294505,0.00003430669,0.00008478665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001469826,0.001752161,0.9167051,0.000009175135,0.0000409727,0.000003867584,0.0001408951,0.01017955,0.04120119,0.004690864,0.0001710928,0.0249582],"study_design_scores_gemma":[0.0001178616,0.0007108864,0.9723523,0.00002183149,0.000008054801,0.000002329855,0.00007673931,0.0173668,0.0001409387,0.008963319,0.00009001141,0.0001489064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860883,0.000153653,0.00008114452,0.0123486,0.00004547722,0.0002120251,0.00002459201,0.00006135647,0.0009847998],"genre_scores_gemma":[0.9987414,0.0001629146,0.0001627417,0.0007378763,0.000171935,0.000008522107,0.000003381747,3.897013e-7,0.00001077482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05564727,"threshold_uncertainty_score":0.6744869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1079198822183209,"score_gpt":0.2557360160131061,"score_spread":0.1478161337947852,"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."}}