{"id":"W2159261354","doi":"10.1111/risa.12474","title":"Risk Reduction of an Invasive Insect by Targeting Surveillance Efforts with the Assistance of a Phenology Model and International Maritime Shipping Routes and Schedules","year":2015,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Animal and Plant Health Inspection Service; Canadian Food Inspection Agency","keywords":"Gypsy moth; Port (circuit theory); Lymantria dispar; Phenology; Population; Invasive species; Certificate; Engineering; Operations research; Computer science; Ecology; Larva; Biology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006122162,0.0000749254,0.0001661554,0.00005963092,0.00008826233,0.00001046479,0.0001072165,0.00003763289,0.00002674742],"category_scores_gemma":[0.00009407173,0.00005368624,0.00002575719,0.0002547667,0.0003335665,0.000156898,0.00009939984,0.00007672649,6.291957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003456068,"about_ca_system_score_gemma":0.000007137027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684637,"about_ca_topic_score_gemma":0.009608506,"domain_scores_codex":[0.999295,0.0001291643,0.0001489705,0.0002102544,0.0001213548,0.00009528932],"domain_scores_gemma":[0.9994771,0.00006149225,0.0002742544,0.0001287141,0.00002322141,0.00003515331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007577141,0.0000411433,0.872481,0.00000458334,0.0004079788,5.804109e-7,0.0007249101,0.1242375,0.0005827578,0.0001492695,0.00009497532,0.001199451],"study_design_scores_gemma":[0.00035182,0.0001127272,0.7752755,0.000004632073,0.0003923269,0.000002399117,0.001073668,0.2198501,0.0003151909,0.002485956,0.00002657069,0.0001091826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940573,0.000225308,0.005321207,0.00007381581,0.0000127586,0.00006991104,0.00002729372,0.000006789094,0.0002055943],"genre_scores_gemma":[0.9959737,0.000334313,0.003595928,0.00001096087,0.000005875565,0.000008015097,0.0000208243,0.000003782576,0.00004662259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09720559,"threshold_uncertainty_score":0.5361772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008592137961430137,"score_gpt":0.2105859006697167,"score_spread":0.2019937627082866,"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."}}