{"id":"W4380866391","doi":"10.5281/zenodo.7430724","title":"IPBES Invasive Alien Species Assessment: Chapter 1. Introducing biological invasions and the IPBES thematic assessment of invasive alien species and their control","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Alien species; Alien; Invasive species; Introduced species; Thematic map; Biology; Ecology; Geography; Political science; Law; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002209069,0.0003323571,0.0005130243,0.0001662579,0.001410579,0.0004314359,0.0007914504,0.0001132149,0.01120671],"category_scores_gemma":[0.001183593,0.0002224756,0.0000995777,0.0002724273,0.001710987,0.0002213387,0.003849129,0.0003901589,0.0003763927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003229391,"about_ca_system_score_gemma":0.00001208605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152628,"about_ca_topic_score_gemma":0.00003169762,"domain_scores_codex":[0.9970433,0.0005842015,0.0005683298,0.0006932667,0.0007683202,0.0003425482],"domain_scores_gemma":[0.9982364,0.0004582898,0.0004773146,0.0005849455,0.0001077573,0.000135264],"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":[0.0004852905,0.001383395,0.0137251,0.002924814,0.003695162,0.0001689063,0.0298599,0.001656488,0.1059991,0.1304096,0.6162781,0.09341414],"study_design_scores_gemma":[0.002052043,0.0004742639,0.1357516,0.0003675736,0.000168051,0.0001031793,0.009781135,0.0004839368,0.0005531274,0.001417104,0.8482374,0.0006106169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.215139,0.0004310501,0.003198744,0.015283,0.0004480996,0.005766521,0.001254444,0.0006569254,0.7578222],"genre_scores_gemma":[0.9817716,0.01048957,0.0003407267,0.000575297,0.0001516467,0.000002016972,0.0008566965,0.0005638269,0.005248627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7666326,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282653247823465,"score_gpt":0.2790756452588502,"score_spread":0.1508103204765038,"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."}}