{"id":"W6962565759","doi":"10.15468/dl.h2f98b","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.00101416,0.001942616,0.001539793,0.005299906,0.0009407394,0.002483185,0.002764751,0.001925987,0.1439209],"category_scores_gemma":[0.005832021,0.0008837129,0.001195171,0.00993921,0.0004535976,0.002185976,0.002626249,0.001870827,0.2041486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567622,"about_ca_system_score_gemma":0.002378546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273832,"about_ca_topic_score_gemma":0.03719841,"domain_scores_codex":[0.998896,0.0001553021,0.0001497497,0.0003664802,0.0002469282,0.0001854182],"domain_scores_gemma":[0.9975033,0.0006458229,0.0002487196,0.0006883441,0.0006199403,0.0002938952],"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":[0.00003331563,0.00001150011,0.0003823362,0.0005894054,0.00001650453,0.00001597372,0.00002392832,0.0001247469,0.0001277315,0.0004032236,0.9967701,0.001501291],"study_design_scores_gemma":[0.00007170999,0.000008217509,0.001933651,0.0001877178,0.00001447609,0.00003810617,0.00006649436,0.0001292467,0.0001914816,0.000764642,0.996577,0.00001735213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000427179,0.00002813536,0.00003988336,0.00003326588,0.0000104858,0.000005255151,0.9988607,0.0003578255,0.0006216799],"genre_scores_gemma":[0.0001584633,0.00003285922,0.000169185,0.00004330081,0.000003064167,0.00003538858,0.9990176,0.0001248687,0.0004151872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8560792,"threshold_uncertainty_score":0.4814632,"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."}}