{"id":"W4321995435","doi":"10.5194/egusphere-egu23-9919","title":"Dynamic Geodiversity, Geosystem Services, and Sustainable Development: Insights from Sesia Val Grande UNESCO Global Geopark","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geotourism and Geoheritage Conservation","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodiversity; Ecosystem services; Geography; Geopark; Climate change; Biodiversity; Environmental resource management; Sustainable development; Environmental planning; Ecosystem; Ecology; Environmental science; Tourism","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":[0.0002631462,0.0004215924,0.0004469523,0.0001350547,0.0006617498,0.0005598069,0.0005466847,0.000409057,0.0004165128],"category_scores_gemma":[0.00001047119,0.0003870223,0.00007514548,0.0003001038,0.00008828823,0.0003271376,0.0006349747,0.0002887939,0.0005969606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003711748,"about_ca_system_score_gemma":0.0003823891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1995819,"about_ca_topic_score_gemma":0.2042936,"domain_scores_codex":[0.9975439,0.0001272686,0.0004099376,0.000866739,0.000452964,0.0005991487],"domain_scores_gemma":[0.9989351,0.0000836361,0.0002036705,0.0003902624,0.0001577212,0.000229609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008313837,0.00002408456,0.9883854,0.001340806,0.0001976271,0.000615133,0.00195932,0.003976208,5.518103e-7,0.00007621681,0.0006088807,0.00273265],"study_design_scores_gemma":[0.0004329545,0.0000227653,0.9564279,0.0001529267,0.00007274938,0.000007364647,0.003154249,0.02352307,0.000001691117,0.009439865,0.006260884,0.0005035462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940516,0.001586573,0.0002665359,0.0002145239,0.0007593587,0.0005950614,0.0004461715,0.0003094166,0.001770707],"genre_scores_gemma":[0.9885041,0.0001459361,0.001320972,0.0001514501,0.0000680774,0.000004757247,0.00583605,0.000007830922,0.003960853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03195745,"threshold_uncertainty_score":0.9998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182280950580694,"score_gpt":0.1910015723533863,"score_spread":0.1791787628475794,"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."}}