{"id":"W6905922789","doi":"10.15468/dl.rh33s2","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.001026368,0.001912318,0.001605206,0.004982324,0.001026119,0.002514589,0.002758328,0.002085213,0.1573097],"category_scores_gemma":[0.006167054,0.0008953506,0.001265734,0.009862299,0.0004596348,0.002297546,0.002606908,0.001988434,0.2162894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601752,"about_ca_system_score_gemma":0.002421112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278851,"about_ca_topic_score_gemma":0.03664787,"domain_scores_codex":[0.9989234,0.0001500185,0.0001349753,0.0003716857,0.0002420664,0.0001778767],"domain_scores_gemma":[0.997376,0.0007810911,0.0002333686,0.0006917326,0.000628062,0.000289803],"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":[0.00002877698,0.0000119206,0.0003835891,0.0005499175,0.0000144585,0.00001514847,0.0000245495,0.0001217403,0.0001163897,0.0003525015,0.9969698,0.00141115],"study_design_scores_gemma":[0.00007373826,0.000009316638,0.002065985,0.0002083602,0.00001510823,0.00003872341,0.00008068936,0.0001484478,0.0001922828,0.0007381632,0.9964113,0.00001790015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004618002,0.00002896897,0.00004288818,0.00003943617,0.00001284533,0.000005837313,0.9988003,0.0003879587,0.0006356201],"genre_scores_gemma":[0.0001672326,0.00003564658,0.0001923966,0.00004964179,0.000003631166,0.00004568377,0.9988738,0.0001473244,0.0004845867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426903,"threshold_uncertainty_score":0.5262534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}