{"id":"W2484698015","doi":"10.1007/s11538-016-0195-8","title":"A Mathematical Model for Biocontrol of the Invasive Weed Fallopia japonica","year":2016,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"University of Surrey","keywords":"Weed; Biology; Rhizome; Biomass (ecology); Biological pest control; Insect; Mikania micrantha; Invasive species; Japonica; Botany; Larva; Population; Range (aeronautics); Ecology; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003766508,0.0008380521,0.0007857356,0.0006131048,0.0005875964,0.001343384,0.001506313,0.001775366,0.004245952],"category_scores_gemma":[0.001179439,0.0003554494,0.001036589,0.0004752016,0.0008377239,0.001085229,0.0009966228,0.001269443,0.000698439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164694,"about_ca_system_score_gemma":0.00110737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008534686,"about_ca_topic_score_gemma":0.004184616,"domain_scores_codex":[0.9997929,0.00005657287,0.00001404107,0.00005037957,0.00004668084,0.00003939188],"domain_scores_gemma":[0.9994667,0.0002531972,0.0001230924,0.00002070894,0.00009242682,0.00004387257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003178122,0.00004983327,0.0005876748,0.0001070667,0.00003764203,0.0002603535,0.0001143609,0.8959594,0.003428952,0.09559232,0.000917687,0.00291305],"study_design_scores_gemma":[0.00002136037,0.00003557522,0.0001383729,0.000009160492,0.00001603086,0.00004227987,0.0000215775,0.9845772,0.0001351206,0.01321167,0.001780872,0.00001062834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1079899,0.001642854,0.8408993,0.003159115,0.0002412275,0.0001507736,0.001036231,0.0003208059,0.04455976],"genre_scores_gemma":[0.8819436,0.001868776,0.07395547,0.0004496852,0.0001928218,0.001013136,0.0007459457,0.00009142973,0.03973907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008534686,"threshold_uncertainty_score":0.01697004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078292202252936,"score_gpt":0.2262131127803378,"score_spread":0.1954301907578084,"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."}}