{"id":"W1537579050","doi":"10.1111/cjag.12059","title":"Optimal Integrated Strategies to Control an Invasive Weed","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weed control; Control (management); Optimal control; Stochastic control; Computer science; Stochastic programming; Ecology; Mathematical optimization; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006163538,0.0004808842,0.0009266071,0.0001317789,0.0004224424,0.0005811286,0.00121959,0.000279496,0.0009520042],"category_scores_gemma":[0.0004978497,0.000214727,0.0003794889,0.0002450751,0.0001924285,0.001010525,0.00003041668,0.0004582122,0.0001071518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009493009,"about_ca_system_score_gemma":0.0003605732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05603563,"about_ca_topic_score_gemma":0.9506015,"domain_scores_codex":[0.9970887,0.0001845991,0.00104157,0.0005390748,0.00002747859,0.001118615],"domain_scores_gemma":[0.9949924,0.000423177,0.000670876,0.0001493404,0.0005880606,0.00317613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002420242,0.0004413236,0.02214595,0.0001297093,0.002641101,0.0006402968,0.006721302,0.1647121,0.2634853,0.3023202,0.02706211,0.2072804],"study_design_scores_gemma":[0.001911755,0.008351958,0.7641135,0.0001604454,0.0001527477,0.000984122,0.01864838,0.0002406504,0.001279638,0.003342623,0.1988863,0.001927856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857805,0.0001005557,0.0000183322,0.01027469,0.000854555,0.0004354171,0.0003548559,0.0000251956,0.002155846],"genre_scores_gemma":[0.995324,0.00001213822,0.0002850946,0.002327716,0.001726579,0.00002600525,0.0001087947,0.000005238666,0.0001844598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8945659,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020279506285256,"score_gpt":0.1625134807714183,"score_spread":0.1422339744861623,"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."}}