{"id":"W2947446039","doi":"10.1111/csp2.56","title":"An investigation of the effects of conservation incentive programs on management of invasive species by private landowners","year":2019,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Incentive; Incentive program; Business; Land tenure; Conservation Reserve Program; Environmental resource management; Provisioning; Ecosystem services; Service (business); Natural resource economics; Environmental planning; Public economics; Ecosystem; Geography; Economics; Ecology; Agriculture; Marketing; Engineering","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":[0.0009545338,0.00006958792,0.0000902987,0.00004600462,0.00007798531,0.00002661115,0.0002572359,0.00002222002,0.00003513865],"category_scores_gemma":[0.0003993349,0.00005013236,0.00001473944,0.0008323265,0.0009148972,0.001127625,0.0001186868,0.00004402779,0.00001374689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003705333,"about_ca_system_score_gemma":0.00003105301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004206968,"about_ca_topic_score_gemma":0.00001584039,"domain_scores_codex":[0.9988536,0.0001254588,0.0001969218,0.0001833367,0.0005406406,0.00009999354],"domain_scores_gemma":[0.9987935,0.0003954282,0.000452916,0.0002449834,0.00008092614,0.00003223184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009784173,0.00008707926,0.8098301,0.0002222054,0.0000168733,2.740047e-7,0.00176445,0.00004016823,0.168906,0.01501112,0.001765688,0.002258196],"study_design_scores_gemma":[0.0006014674,0.0004334206,0.8891722,0.0001996547,0.00004863865,5.668224e-7,0.0006663046,0.0007574391,0.09929038,0.0005679568,0.008154611,0.0001073723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909519,0.000008531732,0.00001601976,0.001751494,0.00008035464,0.0006741695,0.000001963566,0.000005506642,0.006510056],"genre_scores_gemma":[0.9977566,0.00007260434,0.0004904865,0.001099545,0.000002982494,0.00001069499,0.000005831893,0.000002827215,0.0005584069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0793421,"threshold_uncertainty_score":0.3370977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778856298259784,"score_gpt":0.2613032858518575,"score_spread":0.2435147228692597,"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."}}