{"id":"W6978007134","doi":"10.6084/m9.figshare.c.7090104.v2","title":"Supplementary material from \"Global indicators of the environmental impacts of invasive alien species and their information adequacy\"","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Impact assessment; Warning system; Invasive species; Introduced species; Sustainability; Stewardship (theology); Risk assessment; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001289975,0.0007047807,0.0004073431,0.002004676,0.0004957367,0.001528458,0.001240322,0.0008903506,0.7322595],"category_scores_gemma":[0.01388959,0.0003065823,0.0005019421,0.003229636,0.0002454495,0.001640535,0.00146472,0.000617612,0.2450067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009521246,"about_ca_system_score_gemma":0.001194401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006701048,"about_ca_topic_score_gemma":0.0146637,"domain_scores_codex":[0.9993985,0.0001422082,0.00007113989,0.0001049387,0.0002273966,0.00005577011],"domain_scores_gemma":[0.9932961,0.003774058,0.0002883136,0.0006201531,0.001759162,0.0002621127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004152665,0.00002146663,0.0004215971,0.0003377121,0.000009565377,0.00002209613,0.00002233837,0.0004440333,0.0001200006,0.002126839,0.9655901,0.03084282],"study_design_scores_gemma":[0.0001122875,0.00004451072,0.005266623,0.0004082701,0.00002020934,0.0001421,0.00009297475,0.003958628,0.0009681163,0.01374347,0.9751909,0.00005182934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001532301,0.0002171211,0.01550316,0.001429292,0.000911619,0.0002122789,0.8945869,0.004994477,0.08061287],"genre_scores_gemma":[0.02222921,0.0007357622,0.03899612,0.001413478,0.0003527024,0.001120947,0.81557,0.004413068,0.1151686],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7322595,"threshold_uncertainty_score":0.3818993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009184845946380136,"score_gpt":0.2027113402855735,"score_spread":0.1935264943391934,"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."}}