{"id":"W6929692621","doi":"10.5061/dryad.1ns1rn90h","title":"Key Biodiversity Areas (KBAs) R package, KBAscope, application to Greece","year":2024,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Biodiversity; Habitat; Scope (computer science); Global biodiversity; Key (lock); Taxonomic rank","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000469968,0.0006847307,0.0005960048,0.0007885312,0.0001984646,0.0002497491,0.001499674,0.0005507295,0.0009947048],"category_scores_gemma":[0.0001707052,0.000728194,0.000222847,0.001637462,0.0001149927,0.0001693654,0.001093625,0.000838373,0.8335876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723883,"about_ca_system_score_gemma":0.0001973641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892339,"about_ca_topic_score_gemma":0.003010374,"domain_scores_codex":[0.9965099,0.0001221955,0.0003989793,0.001439049,0.0008966176,0.0006332647],"domain_scores_gemma":[0.9965885,0.00007010158,0.0002406395,0.002434558,0.0002158214,0.000450337],"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":[0.00006264801,0.0001211502,0.00005667285,0.0003011548,0.0001363027,0.0001545092,0.0000488546,0.000004876207,0.0001098627,0.00001686486,0.9983098,0.0006773383],"study_design_scores_gemma":[0.0002246307,0.00005205126,0.0004668027,0.0001583492,0.0004329218,0.00001067545,0.00002822381,0.000007452906,0.0001394075,0.00007888317,0.997623,0.0007775693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001610591,0.0003009116,0.00005521492,0.0004091705,0.000769945,0.001260596,0.9957118,0.0005153474,0.0008159661],"genre_scores_gemma":[0.00004235843,0.0000783642,0.0001572673,0.0008081305,0.0004651818,0.0001734817,0.9975618,0.00009323026,0.0006201937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.832593,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385897305577471,"score_gpt":0.2649523209682754,"score_spread":0.2510933479125007,"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."}}