{"id":"W1598215670","doi":"10.1111/j.1539-6924.2011.01642.x","title":"Biosecurity Policy and the Use of Geospatial Predictive Tools to Address Invasive Plants: Updating the Risk Analysis Toolbox","year":2011,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Biosecurity; Geospatial analysis; Risk assessment; Toolbox; Risk analysis (engineering); International Health Regulations; Convention on Biological Diversity; International agency; Environmental planning; Environmental health; Environmental resource management; Engineering; Business; Computer science; Geography; Medicine; Environmental science; Computer security; Biology; Biodiversity; Ecology; Coronavirus disease 2019 (COVID-19)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006825997,0.0001729271,0.0005085221,0.0001004421,0.000524719,0.0001084953,0.0003841768,0.00008231462,0.0001128485],"category_scores_gemma":[0.001011389,0.00004701038,0.0004792062,0.002764004,0.000222054,0.000145932,0.0001404334,0.0001631565,0.000003881115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001610524,"about_ca_system_score_gemma":0.00001275322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03788379,"about_ca_topic_score_gemma":0.07856414,"domain_scores_codex":[0.9981025,0.0006121107,0.0003747896,0.0003617473,0.0002873323,0.000261547],"domain_scores_gemma":[0.9973826,0.001717236,0.0004803491,0.0001961049,0.0001208109,0.0001028526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008852315,0.0001565745,0.9489218,0.000006855662,0.01247412,0.00001033586,0.00469938,0.002589919,0.004216011,0.000784893,0.0002667263,0.02498816],"study_design_scores_gemma":[0.0001410353,0.0000622855,0.988353,0.000008320064,0.005493271,8.033685e-7,0.001380906,0.003176037,0.0006348798,0.0001553714,0.0004526481,0.0001414788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926153,0.0002086768,0.0001933084,0.0001995382,0.00001514941,0.0002499155,0.006274012,0.00001738691,0.0002266612],"genre_scores_gemma":[0.9975185,0.001871289,0.0001858822,0.0001271471,0.0001078233,0.00002076574,0.0001248644,8.615485e-7,0.00004283749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04068035,"threshold_uncertainty_score":0.968523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498457115283952,"score_gpt":0.2206781660266558,"score_spread":0.1856935948738163,"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."}}