{"id":"W6929518882","doi":"10.5281/zenodo.10057013","title":"IPBES Invasive Alien Species Assessment: Factsheet 1 - Invasive alien species: data on trends and impacts","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Alien; Alien species; Invasive species; Biodiversity; Introduced species; Ecosystem; Thematic map","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008137307,0.002550134,0.001577036,0.005404867,0.0007978369,0.003749333,0.003736453,0.006053458,0.01815726],"category_scores_gemma":[0.01174965,0.001161314,0.001957078,0.00770888,0.0006109794,0.002922679,0.002818095,0.003853123,0.01794916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003408151,"about_ca_system_score_gemma":0.01288738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08092511,"about_ca_topic_score_gemma":0.03920836,"domain_scores_codex":[0.9935696,0.0007122155,0.0005487328,0.0003691157,0.004116252,0.0006840419],"domain_scores_gemma":[0.9916535,0.001823064,0.001333462,0.0005179837,0.004028755,0.0006432538],"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":[0.0003263641,0.0001267247,0.001519691,0.001648068,0.00007070824,0.0002194053,0.0001357913,0.001750382,0.001240323,0.005528949,0.9671053,0.02032818],"study_design_scores_gemma":[0.0001307651,0.00009898306,0.009596116,0.0008961639,0.00006662726,0.0001210653,0.00009498114,0.0006074042,0.001639699,0.003413615,0.9832722,0.0000622967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002644581,0.004974945,0.006519547,0.008626657,0.003024215,0.002088818,0.8444948,0.001589007,0.1260375],"genre_scores_gemma":[0.01252239,0.008261225,0.0217338,0.007489727,0.00105019,0.006109361,0.8717988,0.001114754,0.06991984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08092511,"threshold_uncertainty_score":0.1609082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1876897774018922,"score_gpt":0.3697140342425734,"score_spread":0.1820242568406812,"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."}}