{"id":"W4389734097","doi":"10.25368/2023.217","title":"Realitäts-Check auf regionaler Ebene: Implikationen der CBD-COP15 für Sachsen","year":2023,"lang":"en","type":"report","venue":"","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Arable land; Geography; Agriculture; Context (archaeology); Land use; Agroforestry; Environmental planning; Ecology; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005272905,0.000331097,0.0003040692,0.0001081563,0.0001218177,0.00002657654,0.000500796,0.001082754,0.0003403176],"category_scores_gemma":[0.0001692118,0.0002918509,0.0002097685,0.0001847267,0.00025274,0.000004832707,0.0004903896,0.0002647693,0.0004752612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000129978,"about_ca_system_score_gemma":0.0004108644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007308234,"about_ca_topic_score_gemma":0.0008806802,"domain_scores_codex":[0.9976267,0.00003890018,0.0003983445,0.0008906717,0.0005800484,0.0004653017],"domain_scores_gemma":[0.9986886,0.00001805067,0.0002156592,0.0008726681,0.00009003442,0.0001149749],"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":[0.00001572673,0.00008603182,0.005676747,0.00006434967,0.0003454722,0.00004616435,0.00001340951,0.00001732167,0.09632333,0.0003412941,0.8821172,0.014953],"study_design_scores_gemma":[0.000185008,0.000124322,0.009666231,0.00002825335,0.00007551274,0.0001381023,0.00005693976,0.00000506074,0.02462695,0.0006370065,0.963963,0.0004936049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.12117,0.006896595,0.002567116,0.007653239,0.003331266,0.001872562,0.0004018899,0.0007243989,0.8553829],"genre_scores_gemma":[0.2884673,0.01775674,0.001575563,0.001452756,0.00177437,0.0002904649,0.006330968,0.0002407782,0.6821111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1732718,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07043418019533282,"score_gpt":0.3762757926108674,"score_spread":0.3058416124155346,"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."}}