{"id":"W7090199816","doi":"10.5281/zenodo.17343997","title":"Резюме тематической оценки коренных причин утраты биоразнообразия и определяющих факторов преобразовательных изменений и вариантов реализации Концепции в области биоразнообразия на период до 2050 года (оценка преобразовательных изменений) для директивных органов","year":2024,"lang":"ru","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":[0.007099891,0.003738175,0.002933134,0.002173806,0.008139011,0.006445472,0.009111281,0.001921793,0.2597048],"category_scores_gemma":[0.001799775,0.004128668,0.001749954,0.004735214,0.00336417,0.002701181,0.01975734,0.005385018,0.2251729],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008801927,"about_ca_system_score_gemma":0.0002337261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881256,"about_ca_topic_score_gemma":0.0001920673,"domain_scores_codex":[0.9731187,0.002692962,0.00471093,0.006925024,0.007606045,0.004946356],"domain_scores_gemma":[0.9870641,0.0003388227,0.002543016,0.006020534,0.0009204416,0.003113077],"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":[0.0004609342,0.001965778,0.0002070962,0.0021681,0.001434346,0.00162439,0.002451692,0.0008443439,0.009999435,0.003646509,0.794706,0.1804913],"study_design_scores_gemma":[0.002598077,0.001248987,0.007418716,0.001201518,0.001112007,0.001342819,0.001766796,0.001198901,0.00111509,0.0009638968,0.9758645,0.004168699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02279408,0.005228593,0.003164411,0.01500135,0.006615418,0.01175802,0.005927048,0.006493105,0.923018],"genre_scores_gemma":[0.5079639,0.03174426,0.003233045,0.01177249,0.005135654,0.0000461096,0.04680935,0.02677612,0.3665191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5564989,"threshold_uncertainty_score":0.9993739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793417132104871,"score_gpt":0.253386488262963,"score_spread":0.2054523169419142,"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."}}