{"id":"W6906131709","doi":"10.15468/dl.rawje2","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; Range (aeronautics); Alien; Homonym (biology)","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":[0.0009300582,0.002017857,0.001559444,0.004962551,0.0009544825,0.002520313,0.002562594,0.001914823,0.1640861],"category_scores_gemma":[0.006289473,0.0008890312,0.001222312,0.009646386,0.0004239153,0.002171186,0.002494398,0.001789493,0.2157775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462719,"about_ca_system_score_gemma":0.002270002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214238,"about_ca_topic_score_gemma":0.03344755,"domain_scores_codex":[0.9989592,0.0001417188,0.0001307268,0.0003780393,0.0002175233,0.0001727402],"domain_scores_gemma":[0.9974927,0.0007542541,0.0002428146,0.0006320408,0.0006010121,0.0002772401],"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":[0.00003186012,0.00001083051,0.0004064833,0.0005535667,0.00001500557,0.00001449749,0.00002121534,0.000133498,0.0001122889,0.0003458886,0.9968883,0.001466582],"study_design_scores_gemma":[0.00007865403,0.00001077055,0.00197187,0.0001994011,0.00001624999,0.00003673378,0.00006736373,0.0001688364,0.0001883655,0.0008180773,0.9964246,0.00001898484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000428751,0.00002713898,0.00003856116,0.00003548771,0.00001209799,0.000005068887,0.9988719,0.0003776089,0.0005892008],"genre_scores_gemma":[0.0001679416,0.00003616191,0.0001903968,0.00004945424,0.000003830656,0.00004334586,0.9988539,0.0001560013,0.0004989401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359139,"threshold_uncertainty_score":0.5489227,"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."}}