{"id":"W2145227879","doi":"10.1890/09-1452.1","title":"Is invasion history a useful tool for predicting the impacts of the world's worst aquatic invasive species?","year":2011,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Invasive species; Context (archaeology); Introduced species; Ecology; Biomass (ecology); Biology; Estimation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003609242,0.0001147883,0.0001407828,0.00001759979,0.0003732825,0.000005366593,0.0005497187,0.00009382734,0.01954968],"category_scores_gemma":[0.0002258022,0.00005944457,0.0001151097,0.0002392884,0.0006654286,0.00008184794,0.0002484733,0.0001649024,0.0006412714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003015351,"about_ca_system_score_gemma":0.00005132343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005225292,"about_ca_topic_score_gemma":0.001632775,"domain_scores_codex":[0.9990082,0.00007575437,0.0002963068,0.0002484927,0.00014044,0.0002308267],"domain_scores_gemma":[0.9986708,0.0006123771,0.0002424055,0.0004134331,0.00001284931,0.00004809066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000199634,0.0006260697,0.9273509,0.00001162151,0.00001921287,4.846982e-7,0.001919375,0.000009392186,0.004420712,0.003781062,0.061269,0.0005722564],"study_design_scores_gemma":[0.0001754155,0.00009107588,0.9752297,0.000006344399,0.00006683174,0.000002008042,0.0001642063,0.0002148792,0.004147287,0.005678696,0.0141253,0.00009822832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835016,0.00001516984,0.0009769193,0.001166753,0.0001263037,0.002084533,0.0000149771,0.00003049269,0.01208325],"genre_scores_gemma":[0.9913863,0.000005150246,0.001233,0.001705334,0.00003721311,0.001196765,0.00000407552,0.000007355109,0.004424821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04787888,"threshold_uncertainty_score":0.9813466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05650320433434411,"score_gpt":0.2394417670952898,"score_spread":0.1829385627609457,"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."}}