{"id":"W7093364635","doi":"10.15468/dl.pmxfuw","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Real world data","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":[],"consensus_categories":[],"category_scores_codex":[0.0009900739,0.001770402,0.001487702,0.004692237,0.0008851751,0.002346714,0.002558336,0.001855581,0.1452873],"category_scores_gemma":[0.005810245,0.0008798581,0.001046812,0.009308395,0.0004342046,0.002085493,0.002388076,0.001955041,0.2002538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528418,"about_ca_system_score_gemma":0.002195847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969307,"about_ca_topic_score_gemma":0.03176426,"domain_scores_codex":[0.9989719,0.0001358898,0.0001382582,0.0003403144,0.0002420503,0.0001714841],"domain_scores_gemma":[0.9976152,0.000607612,0.0002528957,0.000633042,0.0005903781,0.0003008187],"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":[0.00003088307,0.00001130323,0.0003782179,0.0004702684,0.00001453383,0.00001377132,0.00002057588,0.0001169441,0.0001157383,0.0003697638,0.9971385,0.00131943],"study_design_scores_gemma":[0.00008267425,0.000007814184,0.002060669,0.0001684272,0.00001293923,0.00003375735,0.00006058877,0.0001468183,0.0002022459,0.0006912856,0.9965177,0.00001508467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004233833,0.00002238556,0.00003794846,0.00003104257,0.000009750602,0.000005182265,0.9989228,0.0003398923,0.0005886984],"genre_scores_gemma":[0.000171641,0.00002957775,0.0001626109,0.00004305369,0.000003470866,0.00003854978,0.9990218,0.0001296922,0.0003995938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1452873,"threshold_uncertainty_score":0.4860343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779044216349616,"score_gpt":0.224014738620866,"score_spread":0.2062242964573698,"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."}}