{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005618724,0.0001064895,0.0001973752,0.00003512221,0.0002886755,0.00001278574,0.00008645494,0.0001398994,0.001495919],"category_scores_gemma":[0.0003158295,0.00009105292,0.00001542062,0.00006996946,0.0005970822,0.0001406656,0.0002458954,0.0001781134,0.00003046043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530253,"about_ca_system_score_gemma":0.00001139591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002372779,"about_ca_topic_score_gemma":0.02040443,"domain_scores_codex":[0.9988623,0.0003642065,0.0001788953,0.0002950351,0.0000409492,0.0002585797],"domain_scores_gemma":[0.9993498,0.0004459961,0.00007581072,0.00007465118,0.000007487756,0.00004623894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001289747,0.00002473373,0.9842968,0.000002799069,0.000007871147,0.000001851874,0.00223448,0.000004195999,0.007927972,0.000108271,0.0004474778,0.004930654],"study_design_scores_gemma":[0.0002622701,0.0001051348,0.9873887,0.000008681548,0.0000166394,0.00000576804,0.0029621,0.000490864,0.0002534277,0.008043925,0.0003582573,0.0001042746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960646,0.0001797613,0.001140448,0.0009181587,0.0001692824,0.0002215666,0.00001009561,0.00001416288,0.001281892],"genre_scores_gemma":[0.9715786,0.0001395924,0.02759793,0.0002180183,0.00002544413,0.0001006652,0.000005189747,0.000003591916,0.0003309884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02645749,"threshold_uncertainty_score":0.9994168,"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."}}