{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008953148,0.0008151185,0.000211805,0.002183042,0.000423489,0.002469674,0.0004447486,0.0003964391,0.009808252],"category_scores_gemma":[0.004015519,0.0002506222,0.0008863794,0.00346573,0.0005606491,0.002000515,0.001834341,0.00120802,0.0009851421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664805,"about_ca_system_score_gemma":0.001475777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01851011,"about_ca_topic_score_gemma":0.03625711,"domain_scores_codex":[0.9992403,0.0001418247,0.00005438134,0.00008762932,0.0003514428,0.0001244988],"domain_scores_gemma":[0.9960871,0.0006007493,0.002295275,0.0001152378,0.0006204484,0.0002811663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000427116,0.0001130707,0.7051548,0.0019548,0.0006960854,0.0007294464,0.0009203044,0.02219554,0.001576938,0.03273939,0.0827787,0.1507138],"study_design_scores_gemma":[0.00002762927,0.0001392133,0.8202124,0.001176585,0.0002439616,0.00109225,0.002747366,0.01954134,0.001181161,0.01106256,0.1424754,0.0001001539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7454856,0.02224934,0.01652634,0.01172667,0.001166858,0.0003238986,0.08206013,0.00052999,0.1199312],"genre_scores_gemma":[0.9545516,0.009018148,0.007395335,0.0009110108,0.0001753654,0.0001423751,0.01955569,0.0001248418,0.008125631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01851011,"threshold_uncertainty_score":0.03680474,"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."}}