{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.006495065,0.003196998,0.002559912,0.001920803,0.007524974,0.005625793,0.008009354,0.001628284,0.2070471],"category_scores_gemma":[0.001683087,0.003510891,0.001474988,0.004181118,0.002971331,0.002457993,0.01744372,0.004595744,0.2862102],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006347628,"about_ca_system_score_gemma":0.0001219961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155468,"about_ca_topic_score_gemma":0.00008085078,"domain_scores_codex":[0.9762193,0.00238438,0.004002323,0.006275568,0.006747199,0.004371258],"domain_scores_gemma":[0.989043,0.0003131713,0.002117877,0.005188494,0.0007523089,0.002585143],"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":[0.0003294797,0.001789731,0.0001298333,0.001723343,0.00120443,0.001254447,0.002156425,0.001030225,0.01137608,0.00389833,0.8973157,0.07779191],"study_design_scores_gemma":[0.002209179,0.001235466,0.003350434,0.001104101,0.0009006743,0.0009056183,0.002248317,0.001098859,0.001022292,0.0006613361,0.9817178,0.003545932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02434388,0.005192032,0.002108593,0.01466579,0.005693604,0.008917021,0.005498373,0.005786326,0.9277944],"genre_scores_gemma":[0.4588493,0.04066996,0.003639403,0.01272976,0.005058473,0.00003183569,0.0492836,0.0281805,0.4015572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5262372,"threshold_uncertainty_score":0.999742,"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."}}