{"id":"W2076223043","doi":"10.1111/j.1539-6924.2009.01284.x","title":"Robustness of Risk Maps and Survey Networks to Knowledge Gaps About a New Invasive Pest","year":2009,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Robustness (evolution); Risk analysis (engineering); Risk assessment; PEST analysis; Risk management; Environmental resource management; Computer science; Integrated pest management; Ecology; Business; Biology; Computer security; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007198282,0.0001435904,0.0003306777,0.0001636542,0.0001472336,0.00001943247,0.0002243777,0.00008400878,0.0007417248],"category_scores_gemma":[0.0002051477,0.0001300539,0.0001180585,0.001649825,0.00009282415,0.00008140857,0.0001633674,0.0001286789,0.00008577108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006202474,"about_ca_system_score_gemma":0.00001143204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00915614,"about_ca_topic_score_gemma":0.1593527,"domain_scores_codex":[0.9987664,0.0002521117,0.0002471565,0.0003567971,0.000122287,0.000255289],"domain_scores_gemma":[0.9990879,0.0002163402,0.0001701249,0.0003319454,0.00001507869,0.0001785783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002438322,0.00006395976,0.5391012,0.000001430473,0.0001803535,0.000001687288,0.0002528998,0.4450944,0.000004049984,0.00002595932,0.006059006,0.009190708],"study_design_scores_gemma":[0.0001946271,0.00007866278,0.9753411,0.00000451735,0.0007435243,4.50054e-7,0.00004083985,0.02278992,0.00001408431,0.0001950486,0.0004539071,0.000143361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699093,0.0003920405,0.0279868,0.00003947855,0.0000571208,0.0001558374,0.00002780387,0.0000185822,0.001413059],"genre_scores_gemma":[0.9967619,0.001345294,0.001010912,0.00007510904,0.00003260958,0.000004447545,0.00003236629,0.000005634128,0.000731687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4362399,"threshold_uncertainty_score":0.9974419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007608951381953327,"score_gpt":0.2267538385593674,"score_spread":0.2191448871774141,"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."}}