{"id":"W2014110415","doi":"10.4141/cjps07121","title":"Non-indigenous species management using a population prioritization framework","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Park Service; U.S. Forest Service; U.S. Department of Agriculture","keywords":"Adaptive management; Environmental resource management; Prioritization; Population; Land management; Resource management (computing); Metapopulation; Ecosystem management; Land use; Geography; Environmental planning; Business; Ecology; Computer science; Ecosystem; Process management; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00628459,0.0008311262,0.0007366599,0.001953128,0.0009147871,0.002944204,0.001945232,0.0008802535,0.0029825],"category_scores_gemma":[0.005338828,0.0003977531,0.0007661486,0.001113463,0.00134455,0.002102992,0.001533707,0.001367955,0.0002082313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00454727,"about_ca_system_score_gemma":0.004759474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02787339,"about_ca_topic_score_gemma":0.0457401,"domain_scores_codex":[0.9971225,0.001674818,0.0000997632,0.0003323823,0.0004896699,0.000280852],"domain_scores_gemma":[0.9968645,0.001699399,0.0003655392,0.0001193112,0.0006074391,0.0003437534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005774203,0.0002378689,0.008361176,0.0001732286,0.0002225938,0.0002270374,0.0008217868,0.7478521,0.001738515,0.1567001,0.002348407,0.08125949],"study_design_scores_gemma":[0.00004155441,0.0001081792,0.002139233,0.00004882923,0.0000661898,0.0000840506,0.0003247104,0.9413922,0.000337876,0.05115217,0.004269488,0.00003550763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04542241,0.0006456823,0.933376,0.002017725,0.0000691932,0.0004945243,0.000179138,0.0003578056,0.0174376],"genre_scores_gemma":[0.6360993,0.0003669533,0.3583201,0.0002842681,0.00007193568,0.0003897475,0.0001589842,0.00004556213,0.004263093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02787339,"threshold_uncertainty_score":0.05542231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025603728655644,"score_gpt":0.2313519157161996,"score_spread":0.2210958784296431,"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."}}