{"id":"W3201018069","doi":"10.1111/csp2.541","title":"Multiple drivers of invasive lionfish culling efficiency in marine protected areas","year":2021,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Florida Sea Grant, University of Florida; National Park Service; National Oceanic and Atmospheric Administration","keywords":"Culling; Fishery; Reef; Habitat; Coral reef; Geography; Ecology; Invasive species; Wildlife management; Biology","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":[0.001035899,0.0001276451,0.0001176237,0.0005624876,0.0003549018,0.0006843024,0.0002639891,0.0002133124,0.001674224],"category_scores_gemma":[0.004373072,0.0001215044,0.0001488083,0.0004290176,0.0003292158,0.0005750919,0.0006049383,0.0003536346,0.0001133754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634729,"about_ca_system_score_gemma":0.0005661095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02621191,"about_ca_topic_score_gemma":0.07904572,"domain_scores_codex":[0.9995346,0.0001218253,0.00003846396,0.0001138532,0.00008362397,0.0001076143],"domain_scores_gemma":[0.995315,0.0008467497,0.002757326,0.0001948338,0.000472673,0.0004133928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002134204,0.00001658978,0.9955665,0.000009415747,0.00002645413,0.00002359748,0.0002091573,0.0004467428,0.0001914369,0.00003624858,0.00009113014,0.003361279],"study_design_scores_gemma":[8.322344e-7,0.00002244091,0.9985338,0.000007590921,0.000005805847,0.00002070791,0.0004472041,0.000706545,0.00003919225,0.00002336537,0.000190254,0.000002184868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990108,0.00004786535,0.0001791665,0.00007006744,0.000001417049,0.000008638846,0.0000786664,0.000004529888,0.0005987996],"genre_scores_gemma":[0.9995177,0.00002932255,0.0001710336,0.00001123146,0.000001875112,0.0000057325,0.00007040402,0.000001293248,0.0001914977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621191,"threshold_uncertainty_score":0.05211872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618623394088362,"score_gpt":0.2605876408931271,"score_spread":0.2344014069522435,"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."}}