{"id":"W6943835862","doi":"10.15468/dl.xgxv26","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Download; Natural history; Matching (statistics); Field (mathematics); Natural (archaeology)","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":[0.001184081,0.002171773,0.001922988,0.006652214,0.001222094,0.003262995,0.003189542,0.002099086,0.235768],"category_scores_gemma":[0.007840288,0.001114708,0.001517643,0.01337114,0.0004623223,0.003148358,0.00312536,0.002052183,0.3190404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818133,"about_ca_system_score_gemma":0.002564046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283954,"about_ca_topic_score_gemma":0.0356174,"domain_scores_codex":[0.9986419,0.0001702747,0.0001893264,0.0004865471,0.0002861944,0.0002257817],"domain_scores_gemma":[0.9967506,0.0008984337,0.000268784,0.0008240187,0.0009338522,0.0003243404],"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":[0.00003036643,0.000008973638,0.0003351378,0.0006071919,0.00001509628,0.00001420179,0.00002404034,0.00009516168,0.0001021861,0.0003580119,0.9967754,0.0016342],"study_design_scores_gemma":[0.00005975861,0.000006874157,0.001398024,0.0001970747,0.00001331664,0.00002934436,0.00007378233,0.0001065526,0.0001489446,0.0006778897,0.9972721,0.0000161996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002701965,0.00002217511,0.00004103214,0.00002813103,0.00001070315,0.000005124082,0.9988596,0.0003662078,0.0006398788],"genre_scores_gemma":[0.0001170108,0.00003540482,0.0002096421,0.00004097434,0.000003745245,0.00004794083,0.9987994,0.0002112368,0.0005346147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.764232,"threshold_uncertainty_score":0.7887225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}