{"id":"W7106823308","doi":"10.15468/dl.6bv9c9","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":"Bubo; Matching (statistics); Download; Polygon (computer graphics); Range (aeronautics)","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":[0.0009337243,0.001841328,0.001687283,0.00530361,0.001116827,0.002927798,0.002868664,0.002079286,0.1949366],"category_scores_gemma":[0.006814622,0.0009429749,0.001246926,0.0098872,0.0004012021,0.002675618,0.002760606,0.002016264,0.2607422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172324,"about_ca_system_score_gemma":0.002571495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121453,"about_ca_topic_score_gemma":0.03520008,"domain_scores_codex":[0.998832,0.0001378631,0.0001532159,0.0004165969,0.0002675913,0.0001926691],"domain_scores_gemma":[0.9973752,0.0007088205,0.0002383001,0.0006805838,0.0007168503,0.0002802665],"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":[0.00003096553,0.00001029565,0.0004177575,0.0006037786,0.00001488729,0.00001585001,0.00002285257,0.0001098629,0.0001109317,0.000421549,0.9964056,0.001835712],"study_design_scores_gemma":[0.00005476943,0.000007148941,0.001476404,0.0001853724,0.00001290574,0.00003466786,0.00006671936,0.0001394915,0.0001692119,0.0006895632,0.9971485,0.00001540961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003897227,0.00003087868,0.00005488632,0.00003911857,0.00001279072,0.000005003071,0.9985507,0.0005078913,0.0007597053],"genre_scores_gemma":[0.0001636469,0.00004147198,0.0002373707,0.00005076986,0.000003919012,0.0000402269,0.9986533,0.0001944566,0.0006148285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8050634,"threshold_uncertainty_score":0.6521279,"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."}}