{"id":"W6948134459","doi":"10.5061/dryad.1zcrjdg0p","title":"Data from: Advancing transdisciplinary research on Madagascar's grassy biomes to support resilience in ecosystems and livelihoods","year":2024,"lang":"en","type":"dataset","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biome; Livelihood; Biodiversity; Ecosystem; Ecosystem services; Land use; Ecosystem health; Resource (disambiguation); Vulnerability (computing)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005783555,0.0004557114,0.000693794,0.002170575,0.0005438564,0.0001140327,0.003740482,0.0007961665,0.001486276],"category_scores_gemma":[0.0005324176,0.0005301755,0.0001440165,0.0016171,0.0008877938,0.00007493627,0.006967893,0.001922116,0.0001807611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114861,"about_ca_system_score_gemma":0.0008132359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430968,"about_ca_topic_score_gemma":0.005207984,"domain_scores_codex":[0.9935522,0.0005513658,0.0003896101,0.002304383,0.001908736,0.001293693],"domain_scores_gemma":[0.9958931,0.0005095195,0.0001059309,0.002331523,0.0004966593,0.0006632927],"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":[0.0009004147,0.0002332936,0.0002898776,0.0001750308,0.00015381,0.0006783137,0.001341491,0.00001638601,0.004725069,0.000002015641,0.9909519,0.0005324074],"study_design_scores_gemma":[0.0008003204,0.002434903,0.0003171283,0.001011335,0.00006231171,0.00001146663,0.02165325,0.0000962044,0.0007872946,0.0005232715,0.9717019,0.0006005827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1247048,0.00151253,0.00003912682,0.001128385,0.0008119399,0.001210564,0.8702168,0.00001924141,0.0003565402],"genre_scores_gemma":[0.05789275,0.01077481,0.0003382823,0.00006146971,0.001636528,0.00002212822,0.9274444,0.00006044581,0.001769203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06681206,"threshold_uncertainty_score":0.999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412637807244782,"score_gpt":0.3935176226663677,"score_spread":0.2522538419418895,"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."}}