{"id":"W6943315831","doi":"10.15468/dl.2eybxc","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 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":[0.0008776451,0.001793261,0.001470889,0.005227986,0.0009547535,0.002605713,0.002615608,0.001894168,0.1854971],"category_scores_gemma":[0.006021966,0.000859615,0.001100063,0.01002924,0.0004098108,0.002181383,0.002449051,0.001844741,0.2506169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613182,"about_ca_system_score_gemma":0.002314345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342321,"about_ca_topic_score_gemma":0.03700833,"domain_scores_codex":[0.9990419,0.0001230174,0.0001223736,0.0003322681,0.0002167463,0.0001636196],"domain_scores_gemma":[0.9977795,0.0006384734,0.0002116786,0.0005381879,0.000574155,0.0002579325],"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":[0.00002348238,0.000009039294,0.0003299483,0.000484513,0.00001207171,0.00001374634,0.00002197136,0.0001033938,0.00009363436,0.0003586751,0.9971702,0.001379271],"study_design_scores_gemma":[0.00005780112,0.000007003904,0.001625187,0.0001897186,0.00001307486,0.00003537597,0.00007341033,0.0001366784,0.0001654416,0.000712539,0.9969677,0.00001594972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003687442,0.00002701233,0.00004334576,0.00003600254,0.0000122267,0.00000486102,0.9987689,0.0003651877,0.0007055913],"genre_scores_gemma":[0.0001633012,0.00003693679,0.0001992443,0.0000462493,0.000003748114,0.00004026314,0.9987622,0.0001616288,0.0005865254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8145029,"threshold_uncertainty_score":0.6205497,"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."}}