{"id":"W7116089336","doi":"10.15468/dl.eh8gqn","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); Data set; Set (abstract data type)","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":[0.0009419741,0.00179231,0.00161379,0.005531084,0.0009932881,0.002488633,0.002759153,0.002040224,0.1661284],"category_scores_gemma":[0.006190883,0.0009137266,0.001064535,0.01097697,0.0004301337,0.002213305,0.002452727,0.00187103,0.2033035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849574,"about_ca_system_score_gemma":0.002675543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813443,"about_ca_topic_score_gemma":0.0452106,"domain_scores_codex":[0.9989642,0.0001299046,0.000132052,0.0003589337,0.0002394473,0.00017544],"domain_scores_gemma":[0.9974486,0.0007071718,0.0002503833,0.0006303963,0.0006648803,0.0002984495],"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":[0.00002813585,0.00001050793,0.0003857545,0.0005624951,0.00001557983,0.00001356687,0.00002206272,0.0001174156,0.0001122699,0.0003858416,0.9969435,0.001402705],"study_design_scores_gemma":[0.00006875126,0.000007606207,0.002056198,0.0001980717,0.00001498592,0.00003172848,0.00007078134,0.0001219602,0.0001692874,0.0006329913,0.9966114,0.00001614764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003534999,0.00002394175,0.00003055633,0.0000292346,0.000009127591,0.000004419303,0.9990641,0.0002548519,0.0005483456],"genre_scores_gemma":[0.0001537691,0.00003179453,0.0001591268,0.00003757683,0.000003133755,0.00003500612,0.9990262,0.0001139561,0.0004395754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338717,"threshold_uncertainty_score":0.5557547,"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."}}