{"id":"W6906237974","doi":"10.15468/dl.u54pwb","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":[0.0008934946,0.001964588,0.001561549,0.004793072,0.001054922,0.002455272,0.002838629,0.002040124,0.1404864],"category_scores_gemma":[0.005778759,0.0008642215,0.001314066,0.009464272,0.0004571021,0.002291656,0.00251203,0.001921574,0.205934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584717,"about_ca_system_score_gemma":0.002380306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02582582,"about_ca_topic_score_gemma":0.04227274,"domain_scores_codex":[0.9989989,0.0001293451,0.0001294362,0.0003448977,0.0002331343,0.0001641864],"domain_scores_gemma":[0.9977283,0.0006152029,0.0001964708,0.000620406,0.0005845967,0.0002550306],"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":[0.00002866163,0.00001142801,0.0004027222,0.0004837391,0.00001475905,0.00001635913,0.0000241126,0.0001310594,0.0001089742,0.0003326566,0.9968542,0.001591372],"study_design_scores_gemma":[0.00007268093,0.000009665491,0.002089173,0.0001972688,0.00001574021,0.00004753925,0.00009092778,0.0002042532,0.0002066098,0.0007806349,0.9962665,0.00001891782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000555448,0.00003484637,0.00005267584,0.00004372477,0.00001464731,0.000005753082,0.9986097,0.0005346392,0.0006485718],"genre_scores_gemma":[0.0001719557,0.00003458539,0.000213815,0.00004286946,0.000003476447,0.00003573637,0.9989213,0.0001483333,0.0004279646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8595136,"threshold_uncertainty_score":0.4699738,"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."}}