{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001326687,0.00006894559,0.0001014702,0.00007716067,0.0002039563,0.00003975323,0.000156632,0.00004149377,0.0009556122],"category_scores_gemma":[0.0235384,0.00006817195,0.0000127507,0.001434824,0.0008372961,0.001227408,0.00031583,0.0001226865,0.00002616923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007475748,"about_ca_system_score_gemma":0.000245777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006526666,"about_ca_topic_score_gemma":0.001400772,"domain_scores_codex":[0.9988653,0.000128756,0.0002061327,0.0003035929,0.0003283217,0.0001678699],"domain_scores_gemma":[0.9982038,0.001187221,0.0001637857,0.000160136,0.0002311267,0.0000538996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000394666,0.0001039449,0.8815519,0.00001133024,0.000002645566,0.00002317334,0.0008594823,0.0001424049,0.1142278,0.0007236679,0.0003197154,0.001994499],"study_design_scores_gemma":[0.0004063904,0.00005674399,0.9381619,0.00001628509,0.000008152569,0.00004990923,0.001946406,0.001457835,0.04792235,0.000452616,0.009409704,0.0001116978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962801,0.00001043786,0.0001128235,0.00459789,0.00007425436,0.0001815437,0.000001010911,0.000009487359,0.03221149],"genre_scores_gemma":[0.993663,0.00009955905,0.004256406,0.001600669,0.000006137579,0.00001287206,0.000003367501,0.000002550787,0.0003553975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06630543,"threshold_uncertainty_score":0.9999576,"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."}}