{"id":"W7105469458","doi":"10.15468/dl.ju7hqm","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); Order (exchange); 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":[0.0008828587,0.001895817,0.001596177,0.0051354,0.001115492,0.002847323,0.002860658,0.002196439,0.1725372],"category_scores_gemma":[0.006451231,0.0009469746,0.001271578,0.01058147,0.0004355091,0.00252336,0.00260312,0.00197852,0.2338253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786548,"about_ca_system_score_gemma":0.002588433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02522659,"about_ca_topic_score_gemma":0.03980391,"domain_scores_codex":[0.9989133,0.0001321607,0.0001471999,0.0003746773,0.0002441592,0.0001885572],"domain_scores_gemma":[0.9975327,0.0006581264,0.0002118602,0.0006194973,0.0007129438,0.0002648286],"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":[0.00003005665,0.00001066094,0.000416843,0.0005995331,0.00001475853,0.00001681702,0.00002439076,0.0001244614,0.0001186288,0.0003884945,0.9965113,0.001744144],"study_design_scores_gemma":[0.00006495581,0.000007736578,0.001714035,0.0002102039,0.00001385912,0.00004002548,0.00008437051,0.0001574492,0.0001779992,0.0007129521,0.9967992,0.00001712744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004231662,0.00003126877,0.00004800696,0.00004059072,0.00001343024,0.000005469629,0.9986876,0.0004234586,0.0007079826],"genre_scores_gemma":[0.0001715883,0.00003898857,0.000218848,0.00004899271,0.000003828202,0.00004014059,0.9988111,0.0001512273,0.0005153303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8274628,"threshold_uncertainty_score":0.5771945,"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."}}