{"id":"W6962399882","doi":"10.15468/dl.wfx4v7","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":"Matching (statistics); Range (aeronautics); Download; Field (mathematics); 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":[0.000954637,0.002079834,0.001589205,0.005542821,0.0009255277,0.002628119,0.002690501,0.001759352,0.1930915],"category_scores_gemma":[0.006126714,0.0009673024,0.001254393,0.01081763,0.000406336,0.002338023,0.002639965,0.001748664,0.2561784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584641,"about_ca_system_score_gemma":0.002401156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308422,"about_ca_topic_score_gemma":0.03677899,"domain_scores_codex":[0.998875,0.0001421015,0.0001554933,0.0003876404,0.0002476586,0.0001920381],"domain_scores_gemma":[0.9974935,0.0006498648,0.0002463241,0.0006456822,0.0006710192,0.0002935931],"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":[0.00003173757,0.000008899267,0.0003320017,0.0005693734,0.00001550061,0.00001287792,0.00001848059,0.0001077984,0.0001080418,0.0003609876,0.996911,0.001523178],"study_design_scores_gemma":[0.00006574789,0.000008179231,0.001661687,0.0001688319,0.00001469173,0.00003040431,0.00004829907,0.0001130448,0.0001609691,0.0007195506,0.9969915,0.00001714623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003063966,0.00002385057,0.0000355687,0.00002646054,0.00001021857,0.000004395524,0.9989105,0.0003309582,0.0006272663],"genre_scores_gemma":[0.0001337258,0.00003542685,0.0001738792,0.00004500904,0.000003532805,0.00003456974,0.9989103,0.000146181,0.000517424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8069085,"threshold_uncertainty_score":0.6459554,"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."}}