{"id":"W6906031741","doi":"10.15468/dl.mfmp4b","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); Data collection","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":[0.0009514921,0.001922514,0.001551277,0.005174109,0.000957486,0.002581851,0.00278989,0.002000292,0.1628584],"category_scores_gemma":[0.005900269,0.0008679591,0.001180587,0.009578429,0.0004393508,0.002376119,0.002657455,0.001882417,0.2274657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638582,"about_ca_system_score_gemma":0.002384257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162454,"about_ca_topic_score_gemma":0.03843973,"domain_scores_codex":[0.9989372,0.0001489281,0.0001413663,0.0003703835,0.0002246785,0.0001774657],"domain_scores_gemma":[0.9974808,0.0006528656,0.0002424822,0.0006934699,0.0006441426,0.0002863413],"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":[0.00003154036,0.00001071858,0.0003332008,0.0005731413,0.00001512329,0.0000138664,0.00002228464,0.0001141866,0.000113181,0.0004067792,0.9969065,0.001459454],"study_design_scores_gemma":[0.00006872513,0.000007933872,0.001564089,0.000188932,0.00001341889,0.00003190543,0.0000587762,0.0001266521,0.0001703252,0.0008108089,0.9969417,0.00001668688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003762806,0.00002779005,0.00003911304,0.00003463198,0.00001069185,0.00000526513,0.9988058,0.0003761359,0.0006629835],"genre_scores_gemma":[0.0001541428,0.0000348512,0.0001861843,0.00004901093,0.000003453489,0.0000368487,0.9989273,0.0001437762,0.0004643713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371416,"threshold_uncertainty_score":0.5448157,"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."}}