{"id":"W4389789898","doi":"10.1002/ecs2.4711","title":"Identifying invasive species threats, pathways, and impacts to improve biosecurity","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"U.S. Fish and Wildlife Service; University of Florida; Florida Fish and Wildlife Conservation Commission","keywords":"Invasive species; Biosecurity; Introduced species; Biology; Ecology; Taxon; Endangered species; Wildlife; Geography; Environmental planning; Fishery; Environmental resource management; Habitat; Environmental science","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":["insufficient_payload"],"category_scores_codex":[0.0002054938,0.0001588031,0.0001670296,0.00002405647,0.0002448095,0.00007174967,0.0001992614,0.0001198226,0.01948733],"category_scores_gemma":[0.0002176479,0.0001449001,0.00004576426,0.000350564,0.0001536608,0.0002855314,0.0007358362,0.000189204,0.009082255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009273613,"about_ca_system_score_gemma":0.0000160906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001997125,"about_ca_topic_score_gemma":0.00573395,"domain_scores_codex":[0.9988573,0.0000319875,0.0001611858,0.0003937622,0.0001524599,0.0004033631],"domain_scores_gemma":[0.999394,0.000106583,0.00005245025,0.000245045,0.000008505471,0.0001934083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003027191,0.00006535952,0.3325563,0.00005838941,0.00004457949,0.0001398366,0.003172155,0.00005095859,0.05659861,0.004874133,0.5949028,0.007506626],"study_design_scores_gemma":[0.0001971027,0.0001194939,0.961603,0.00001507322,0.000007702107,0.00000646606,0.0009168755,0.00003044258,0.01387089,0.009432749,0.01358187,0.0002183626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732455,0.00006387328,0.000009458513,0.0008379851,0.000304261,0.000231957,0.00002319339,0.0001070911,0.1251767],"genre_scores_gemma":[0.980261,0.0003812306,0.000284777,0.0005951833,0.000102035,0.00002573618,0.000009630699,0.00001554046,0.01832484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6290466,"threshold_uncertainty_score":0.9916893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253982175075776,"score_gpt":0.2394194304069444,"score_spread":0.2140212128993668,"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."}}