{"id":"W6905776973","doi":"10.15468/dl.8x2k83","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; 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":[0.0008841889,0.001748181,0.001469109,0.004715613,0.0008523263,0.002258479,0.002552698,0.001838589,0.1624349],"category_scores_gemma":[0.005626542,0.0008048487,0.001097803,0.009425754,0.0004014543,0.001991074,0.002278347,0.001684903,0.2080564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457661,"about_ca_system_score_gemma":0.002298543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395543,"about_ca_topic_score_gemma":0.03771996,"domain_scores_codex":[0.999074,0.000120982,0.0001267922,0.0003168226,0.0002049517,0.0001563225],"domain_scores_gemma":[0.9978012,0.0006159665,0.0002236423,0.0005401052,0.0005673105,0.0002517838],"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":[0.00002936604,0.00001035724,0.000408874,0.0005581136,0.0000159002,0.0000143616,0.00002224848,0.0001340838,0.0001121406,0.0003731501,0.9968114,0.001509902],"study_design_scores_gemma":[0.00007194511,0.00000827377,0.002251056,0.0002109746,0.0000159902,0.00003506351,0.00007080546,0.000142329,0.0001858233,0.0007148255,0.9962753,0.00001768539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000360637,0.00002230371,0.00003450627,0.00002746461,0.000009346064,0.000004190715,0.9990714,0.0002706622,0.0005240118],"genre_scores_gemma":[0.000161273,0.00002896826,0.0001600408,0.00003782622,0.000003092064,0.00003301445,0.9990472,0.0001048885,0.0004236077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375651,"threshold_uncertainty_score":0.5433989,"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."}}