{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008928982,0.0005242854,0.001009813,0.0000447059,0.0003154725,0.00009545084,0.001097649,0.0007633502,0.01301655],"category_scores_gemma":[0.01046222,0.0001801621,0.0006011479,0.0004862183,0.0009407664,0.0004187363,0.0004351783,0.0005591069,0.001052081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000637825,"about_ca_system_score_gemma":0.00007615325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004360507,"about_ca_topic_score_gemma":0.0004737978,"domain_scores_codex":[0.9957546,0.0008363843,0.001008515,0.001114443,0.0004128042,0.0008732292],"domain_scores_gemma":[0.9864691,0.01111787,0.001236381,0.0003281273,0.0004585039,0.00038997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002143583,0.0003996677,0.1866573,0.0000116291,0.00006593063,0.00001760145,0.00004542734,0.000004257034,0.8048109,0.002743241,0.0007886399,0.004241112],"study_design_scores_gemma":[0.002068866,0.01488482,0.8553044,0.0007879832,0.0002027397,0.0001407981,0.005340663,0.00005615047,0.03555338,0.01164266,0.07182944,0.00218809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867671,0.002267014,0.0000284544,0.005966885,0.0002736118,0.00128534,0.0003845144,0.0001793166,0.002847779],"genre_scores_gemma":[0.9940305,0.001949927,0.0005621122,0.002170036,0.0003788041,0.000126764,0.0001676277,0.000003186998,0.0006109916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7692575,"threshold_uncertainty_score":0.9997257,"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."}}