{"id":"W2031356081","doi":"10.1111/2041-210x.12072","title":"Interior fences can reduce cost and uncertainty when eradicating invasive species from large islands","year":2013,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Australian Government; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Threatened species; Invasive species; Cost–benefit analysis; Ecology; Geography; Environmental resource management; Habitat; Economics; Biology","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":[0.005151418,0.0005450831,0.0009583347,0.0009512623,0.0006419671,0.002312268,0.001164079,0.001148672,0.005395168],"category_scores_gemma":[0.03362685,0.0003283616,0.0009734709,0.0005755825,0.001506336,0.002179526,0.001782806,0.001247191,0.0002386903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981686,"about_ca_system_score_gemma":0.001346026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164147,"about_ca_topic_score_gemma":0.01280297,"domain_scores_codex":[0.9975364,0.001256701,0.00008376482,0.0002325232,0.0004439168,0.000446754],"domain_scores_gemma":[0.9632047,0.02913608,0.004178592,0.00118754,0.001585691,0.0007073288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007945409,0.0004576065,0.07423174,0.0004354072,0.0003155734,0.0006914476,0.0005374415,0.8479065,0.00583375,0.01881537,0.00112287,0.04885774],"study_design_scores_gemma":[0.00007676709,0.001178254,0.06368347,0.0001973123,0.000260409,0.0002474265,0.001487962,0.8901014,0.003253038,0.03703962,0.002373479,0.0001008336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684414,0.0003001617,0.02161937,0.0005179539,0.00001991213,0.00006766472,0.0000760735,0.00005814003,0.008899494],"genre_scores_gemma":[0.9959453,0.00004538636,0.003640309,0.00003210977,0.000004517492,0.00002288047,0.00001857382,0.000006872991,0.0002841473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01164147,"threshold_uncertainty_score":0.02724361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895066188979709,"score_gpt":0.3175653832809157,"score_spread":0.2886147213911185,"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."}}