{"id":"W2188943224","doi":"10.1614/ipsm-d-15-00033.1","title":"Training Environmental Managers to Control Invasive Plants: Acting to Close the Knowing–Doing Gap","year":2015,"lang":"en","type":"article","venue":"Invasive Plant Science and Management","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Université du Québec à Montréal","funders":"","keywords":"Invasive species; Control (management); Training (meteorology); Best practice; Business; Population; Environmental resource management; Public relations; Ecology; Environmental planning; Political science; Geography; Sociology; Biology; Management","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001173159,0.0002022124,0.0001617045,0.0001204137,0.0006131019,0.0002223999,0.0006259145,0.00002742208,0.0005487989],"category_scores_gemma":[0.0001598676,0.0001548261,0.00003290469,0.0004276815,0.0003682156,0.0003939031,0.0008178718,0.00009453746,0.001150131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007704407,"about_ca_system_score_gemma":0.00002683663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064645,"about_ca_topic_score_gemma":0.0004868494,"domain_scores_codex":[0.9975649,0.00004107947,0.0002116864,0.000599659,0.0009338525,0.0006488903],"domain_scores_gemma":[0.9990003,0.0001209145,0.00007802893,0.0002902011,0.000009911609,0.0005007181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008423211,0.0007055717,0.03696215,0.000175092,0.0003595256,0.001756267,0.1320587,0.004945793,0.2126485,0.016088,0.3067042,0.2867539],"study_design_scores_gemma":[0.002105153,0.0005046342,0.07875407,0.0002153593,0.00009751115,0.0001147358,0.4022308,0.0002754403,0.006496922,0.0002913807,0.5077824,0.001131597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900084,0.00003225977,0.0003546425,0.002897205,0.0003433257,0.00119422,0.0001648561,0.00005302215,0.104952],"genre_scores_gemma":[0.9908588,0.000130577,0.0002504556,0.008222444,0.00003514362,0.0001070157,0.00001596668,0.000009823279,0.0003698029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2856223,"threshold_uncertainty_score":0.9996276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05717638500208012,"score_gpt":0.2526179267455571,"score_spread":0.1954415417434769,"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."}}