{"id":"W6962023178","doi":"10.15468/dl.5wvucy","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data exploration; Real world data","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007952455,0.002740894,0.002145701,0.007172952,0.001402681,0.003583258,0.00275492,0.002678464,0.247754],"category_scores_gemma":[0.006726238,0.001006102,0.001725922,0.01077769,0.0004185506,0.003857617,0.003432797,0.00218141,0.3279442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794398,"about_ca_system_score_gemma":0.002495684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141619,"about_ca_topic_score_gemma":0.03668269,"domain_scores_codex":[0.9987184,0.0001408437,0.0001847091,0.0004419202,0.0002979547,0.0002161865],"domain_scores_gemma":[0.997456,0.0007065732,0.0002053354,0.0006118246,0.0006848229,0.0003354495],"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":[0.00005449711,0.00001650531,0.0003737533,0.0006188566,0.00001449391,0.00003048236,0.00002620457,0.0001366692,0.0001174172,0.0004825117,0.9947922,0.003336335],"study_design_scores_gemma":[0.00007736413,0.00001383631,0.001306823,0.0001833555,0.00001554039,0.00006743901,0.00008295583,0.0004241142,0.0001875385,0.001330001,0.9962898,0.00002125921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009868548,0.00009042452,0.0001581846,0.00008673918,0.00003012819,0.00001392134,0.994705,0.002482904,0.002334093],"genre_scores_gemma":[0.0003237261,0.00007999001,0.0005646144,0.0001056055,0.00001057341,0.00005103245,0.997286,0.0004643388,0.001114197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.752246,"threshold_uncertainty_score":0.8288198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}