{"id":"W6930348034","doi":"10.5281/zenodo.11332372","title":"IPBES Invasive Alien Species Assessment: Summary for Policymakers. Figures, tables and captions in Arabic","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neurological Complications and Syndromes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Alien; Biodiversity; Alien species; Arabic; Invasive species; 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":[0.005676423,0.001631498,0.0009391817,0.0031045,0.0007548684,0.003953431,0.002813319,0.003331765,0.07548598],"category_scores_gemma":[0.0131428,0.0006407025,0.001161906,0.004376644,0.0005144376,0.002694674,0.002318632,0.003025354,0.04944183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003140656,"about_ca_system_score_gemma":0.01141731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02645764,"about_ca_topic_score_gemma":0.01263424,"domain_scores_codex":[0.9977126,0.0004059582,0.0002566286,0.000173025,0.00121829,0.000233452],"domain_scores_gemma":[0.994508,0.001196434,0.0004822037,0.0002451348,0.003182627,0.0003856925],"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":[0.00006751774,0.00002519809,0.0001498134,0.0006060846,0.00001242635,0.0000504848,0.00003269868,0.0006145922,0.0002218759,0.003427481,0.9591323,0.03565956],"study_design_scores_gemma":[0.00002115738,0.00001479358,0.0008783184,0.0006869386,0.00001598663,0.00004172372,0.00007664987,0.0002080238,0.000344002,0.003663301,0.9940332,0.0000159438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001974209,0.0220095,0.0176956,0.08548858,0.02337567,0.002559347,0.317327,0.00342791,0.5261422],"genre_scores_gemma":[0.01990866,0.055002,0.04906363,0.03349788,0.006803615,0.008374852,0.3303525,0.003000825,0.493996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07548598,"threshold_uncertainty_score":0.2525257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05882740918754689,"score_gpt":0.3002870304791328,"score_spread":0.2414596212915859,"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."}}