{"id":"W7106080114","doi":"10.15468/dl.pyf4fk","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); Reference data; 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":[0.0009491786,0.001857152,0.001494769,0.005446844,0.001052012,0.002902364,0.002844365,0.001912289,0.182732],"category_scores_gemma":[0.006308336,0.0008788971,0.001119669,0.01099386,0.0004426829,0.002478947,0.002635936,0.00205675,0.2646225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170485,"about_ca_system_score_gemma":0.002491859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193554,"about_ca_topic_score_gemma":0.03166899,"domain_scores_codex":[0.9989673,0.0001352114,0.0001265844,0.0003614241,0.0002332206,0.000176335],"domain_scores_gemma":[0.9976203,0.0006543545,0.0002206731,0.0006155219,0.0005974824,0.0002915961],"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":[0.00002478356,0.000009504093,0.0003032379,0.0004811303,0.00001093572,0.00001232579,0.00002023342,0.00008970007,0.00009260415,0.0003815989,0.9971122,0.001461813],"study_design_scores_gemma":[0.00005173157,0.000006408207,0.001319398,0.0001709617,0.00001075882,0.00003081956,0.00006573404,0.000110707,0.0001586985,0.0007407118,0.9973206,0.00001350836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003726083,0.00002977159,0.00004246272,0.00003881663,0.00001216327,0.000005472417,0.998585,0.0003873252,0.0008617009],"genre_scores_gemma":[0.000150425,0.00003947376,0.0001921983,0.00004989903,0.000003793778,0.00004100064,0.9987487,0.0001592447,0.0006152339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.817268,"threshold_uncertainty_score":0.6112994,"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."}}