{"id":"W7090402988","doi":"10.5281/zenodo.17343973","title":"موجز التقييم المواضيعي للأسباب الكامنة وراء فقدان التنوع البيولوجي ومحددات التغيير التحويلي وخيارات تحقيق رؤية التنوع البيولوجي لعام 2050 الخاص بمقرري السياسات (تقييم التغيير التحويلي)","year":2024,"lang":"ar","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biodiversity; Thematic map; Transformative learning; Climate change; Ecosystem","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":[0.001581416,0.0008112917,0.0003060563,0.001314934,0.001634031,0.005117265,0.0007075722,0.001755741,0.1988925],"category_scores_gemma":[0.004737443,0.0003720119,0.0003676085,0.002300613,0.00157415,0.002082822,0.001390212,0.004383454,0.1492266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177342,"about_ca_system_score_gemma":0.004057549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597998,"about_ca_topic_score_gemma":0.01456562,"domain_scores_codex":[0.9985445,0.0001486006,0.0001123853,0.0001173814,0.0009150442,0.0001621454],"domain_scores_gemma":[0.9978566,0.0005322748,0.0001401305,0.0001291975,0.001243801,0.00009806094],"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":[0.000333994,0.00009589944,0.0008503624,0.001517585,0.00001367464,0.0004865737,0.0038593,0.0003647307,0.00703537,0.06233043,0.7261287,0.1969833],"study_design_scores_gemma":[0.00001047112,0.00001686086,0.003383505,0.000219449,0.000003272273,0.0001006562,0.001153364,0.00003025999,0.001290489,0.002025874,0.991751,0.00001464915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006361124,0.006477897,0.003292729,0.01602708,0.009248938,0.0003650194,0.006001499,0.0005638156,0.9516618],"genre_scores_gemma":[0.03575839,0.01071427,0.006639087,0.004164202,0.001710527,0.0009918675,0.006415712,0.001606262,0.9319996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1988925,"threshold_uncertainty_score":0.6653617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04965017722484671,"score_gpt":0.2535467814369933,"score_spread":0.2038966042121466,"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."}}