{"id":"W7105880285","doi":"10.15468/dl.9eugt3","title":"Occurrence Download","year":2025,"lang":"","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); Set (abstract data type); Data set","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":[0.0008947081,0.00167375,0.001432857,0.006040226,0.001082451,0.002990427,0.002489699,0.001821761,0.1900585],"category_scores_gemma":[0.006268878,0.0008483693,0.001074801,0.01192298,0.0004415268,0.0025132,0.00270626,0.001921383,0.2425536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678718,"about_ca_system_score_gemma":0.00247382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02044685,"about_ca_topic_score_gemma":0.03278403,"domain_scores_codex":[0.9989166,0.0001328862,0.0001493071,0.0003720933,0.0002429003,0.0001861151],"domain_scores_gemma":[0.9974782,0.0006994437,0.0002457052,0.0006434256,0.0006346378,0.0002986756],"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":[0.00002769706,0.000009742285,0.0004077571,0.0005773389,0.00001230739,0.00001638368,0.00002850364,0.0001067951,0.0001138142,0.0004838408,0.9963287,0.001887192],"study_design_scores_gemma":[0.00004380341,0.00000590115,0.001438684,0.0001780502,0.00001027626,0.000033615,0.00008030537,0.0001024092,0.0001368864,0.0006547102,0.9973021,0.00001335894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004069856,0.00002729323,0.00004375314,0.00003655555,0.00001202739,0.000004910165,0.9986612,0.0003525126,0.0008210372],"genre_scores_gemma":[0.0001850123,0.00004379121,0.0002342825,0.00004956084,0.000004110256,0.00003947557,0.9986249,0.0001676258,0.0006512764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8099415,"threshold_uncertainty_score":0.6358091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}