{"id":"W6905669560","doi":"10.15468/dl.p2ttbv","title":"Occurrence Download","year":2022,"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); Download; Alien; Range (aeronautics); The Internet","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":[0.0008968039,0.002036885,0.001572569,0.004741258,0.0009576561,0.002530358,0.002632677,0.001914343,0.1634859],"category_scores_gemma":[0.005737437,0.0008887821,0.001205291,0.009413292,0.0004173572,0.002186914,0.00247277,0.001838536,0.220477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474516,"about_ca_system_score_gemma":0.00219995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204137,"about_ca_topic_score_gemma":0.03347122,"domain_scores_codex":[0.9990224,0.0001320922,0.0001190369,0.00035704,0.0002046971,0.0001646829],"domain_scores_gemma":[0.9978124,0.0006325095,0.0002090733,0.0005555031,0.0005403806,0.0002500515],"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":[0.00003051444,0.00001077921,0.0003709748,0.000536498,0.00001461938,0.00001387395,0.00002080154,0.0001248995,0.0001127464,0.0003601505,0.9969851,0.001419143],"study_design_scores_gemma":[0.00007470781,0.000009915689,0.001854008,0.000188573,0.00001527248,0.0000365903,0.00006229558,0.0001544242,0.0001851531,0.000804847,0.996596,0.00001813413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004331493,0.00002956363,0.00004145111,0.00003472403,0.0000122315,0.000004937324,0.9988325,0.000375767,0.0006255587],"genre_scores_gemma":[0.0001621635,0.0000364628,0.0001874448,0.00004871757,0.000003755707,0.00004225658,0.9988594,0.0001550601,0.0005047949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365141,"threshold_uncertainty_score":0.5469147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}