{"id":"W2992576710","doi":"10.1007/s10530-019-02166-8","title":"When misconceptions impede best practices: evidence supports biological control of invasive Phragmites","year":2019,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Fish and Wildlife Service; U.S. Department of Agriculture","keywords":"Phragmites; Invasive species; Biology; Biological pest control; Habitat; Ecology; Introduced species; Endangered species; Environmental planning; Environmental resource management; Wetland; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3263541,0.0009163657,0.002900386,0.0111439,0.002517493,0.01345081,0.00634931,0.009640438,0.007833124],"category_scores_gemma":[0.7409905,0.001813066,0.003826492,0.008976148,0.01824435,0.01354035,0.006861084,0.01421503,0.001379005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009834665,"about_ca_system_score_gemma":0.01772609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015699,"about_ca_topic_score_gemma":0.01791313,"domain_scores_codex":[0.6506214,0.2184937,0.06842662,0.01433301,0.04531443,0.002810853],"domain_scores_gemma":[0.06062978,0.8114513,0.06766586,0.01405624,0.04378944,0.002407519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002743509,0.0006073075,0.05213058,0.2139741,0.01744488,0.0008656947,0.02421514,0.001063124,0.000874967,0.03402229,0.05158026,0.6004782],"study_design_scores_gemma":[0.0009281473,0.001281911,0.03627658,0.6815025,0.0149521,0.0008878503,0.01919994,0.00111248,0.001440483,0.04144358,0.2005117,0.0004626576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03111049,0.448256,0.009755311,0.4807553,0.007600728,0.001447842,0.001573586,0.00009057626,0.01941023],"genre_scores_gemma":[0.4955374,0.2389973,0.03186443,0.2232218,0.005500234,0.002444932,0.001154317,0.0001894543,0.001090171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3263541,"threshold_uncertainty_score":0.8307253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.307504382404195,"score_gpt":0.3022412643442033,"score_spread":0.005263118059991689,"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."}}