{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002401459,0.0004073581,0.000276302,0.001458242,0.002019811,0.005638146,0.0006164268,0.001482268,0.01945833],"category_scores_gemma":[0.003734819,0.0004861372,0.0005820118,0.001724707,0.003545695,0.002794778,0.001450424,0.002462653,0.006856838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003155375,"about_ca_system_score_gemma":0.004954696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001584,"about_ca_topic_score_gemma":0.01165883,"domain_scores_codex":[0.9977081,0.0004762752,0.0001151004,0.0004086052,0.001069132,0.0002227613],"domain_scores_gemma":[0.9984691,0.0004537926,0.0001498336,0.0003071453,0.0005166847,0.0001034377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001000453,0.00004514582,0.001337465,0.0004905791,0.00002908965,0.0002002078,0.004194915,0.000908233,0.004340029,0.8390164,0.03581792,0.11352],"study_design_scores_gemma":[0.00001680481,0.0000377061,0.004261073,0.0002451697,0.000027736,0.0001981219,0.0008880267,0.000310308,0.00310763,0.08109863,0.9097636,0.00004515624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03222649,0.02437255,0.03779095,0.02191254,0.002765081,0.0002496543,0.001996147,0.0003745995,0.8783119],"genre_scores_gemma":[0.6224814,0.02435658,0.05877335,0.001764945,0.001134946,0.0005841943,0.001514877,0.0006065982,0.288783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01945833,"threshold_uncertainty_score":0.06509459,"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."}}