{"id":"W4387384850","doi":"10.1139/facets-2022-0234","title":"Multiple impacts of invasive species on species at risk: a case study in British Columbia, Canada","year":2023,"lang":"en","type":"article","venue":"FACETS","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Simon Fraser University; Ministry of Environment","keywords":"Invasive species; Biodiversity; Ecology; Environmental resource management; Introduced species; Ecosystem; Alien species; Documentation; Umbrella species; Global biodiversity; Geography; Identification (biology); Biology; Habitat; Endangered species; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.001013618,0.0004968605,0.0004467704,0.002859102,0.01052582,0.002450406,0.001648261,0.001034515,0.002329693],"category_scores_gemma":[0.002547101,0.0003305039,0.0003946018,0.007473865,0.001703449,0.0006913692,0.001930572,0.001481156,0.0002092505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05468109,"about_ca_system_score_gemma":0.06805056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969136,"about_ca_topic_score_gemma":0.9993579,"domain_scores_codex":[0.9988658,0.0001371298,0.00005345808,0.0001082615,0.0003845727,0.0004507063],"domain_scores_gemma":[0.9976128,0.0004950053,0.0001678136,0.00007961675,0.001141145,0.000503565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003305421,0.0006162244,0.6608556,0.001236661,0.0003555909,0.04149477,0.1158611,0.006003292,0.003870724,0.005945309,0.02907611,0.1343542],"study_design_scores_gemma":[0.00003902094,0.0001353845,0.5828783,0.0008858607,0.0002536598,0.003203475,0.355814,0.004028875,0.0009133801,0.00126012,0.0504288,0.0001590956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740472,0.001813425,0.000645233,0.001795511,0.00002527593,0.0002129885,0.002002043,0.00002717246,0.01943095],"genre_scores_gemma":[0.9855475,0.002561875,0.00188142,0.0008698242,0.000009450644,0.000065524,0.00102906,0.00002028755,0.008015046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05468109,"threshold_uncertainty_score":0.3967409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574329976580274,"score_gpt":0.206979809654404,"score_spread":0.1912365098886013,"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."}}