{"id":"W4313561475","doi":"10.21203/rs.3.rs-2444595/v1","title":"Biological invasions as burdens to primary economic sectors.","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; AXA Research Fund; Agence Nationale de la Recherche; Fonds de recherche du Québec – Nature et technologies; Leverhulme Trust","keywords":"Agriculture; Business; Natural resource economics; Economic cost; China; Resource (disambiguation); Biodiversity; Geography; Ecology; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001800636,0.0002312994,0.0002924898,0.0002691466,0.0003670685,0.00008494494,0.001053776,0.0004244605,0.01402008],"category_scores_gemma":[0.0003877911,0.0002051209,0.0001401837,0.0002951862,0.0004061204,0.0000494189,0.01084243,0.00119112,0.08321343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540614,"about_ca_system_score_gemma":0.0001382835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003997976,"about_ca_topic_score_gemma":0.003973173,"domain_scores_codex":[0.996963,0.0004056252,0.0002737181,0.001002579,0.0004940293,0.0008610534],"domain_scores_gemma":[0.998323,0.0004088951,0.00004819786,0.0008512684,0.00001646354,0.0003521897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001873156,0.0003847179,0.1238672,0.0003559115,0.0001563585,0.0005920249,0.001336578,0.04278027,0.001880388,0.004792006,0.8201056,0.003561664],"study_design_scores_gemma":[0.0001873765,0.0005884508,0.852484,0.0001193082,0.00000781705,0.00000573416,0.0002488297,0.0001709985,0.0001108248,0.02560492,0.1200435,0.0004282996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447933,0.00003061257,0.00002818934,0.002394987,0.0006739433,0.001744056,0.00008449896,0.0002140365,0.05003639],"genre_scores_gemma":[0.9811322,0.0004208195,0.0003123213,0.000437287,0.0002272965,0.0008558077,0.0002046486,0.00004423533,0.01636539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7286168,"threshold_uncertainty_score":0.9971577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514517165213425,"score_gpt":0.3676705223681203,"score_spread":0.2162188058467778,"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."}}