{"id":"W6962143642","doi":"10.15468/dl.mv3ynh","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":"Download; Matching (statistics); Range (aeronautics); Data collection; Data set","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":[0.001124279,0.001990575,0.001689398,0.004871521,0.001009598,0.002746009,0.00286241,0.002083945,0.1788415],"category_scores_gemma":[0.006657383,0.0009772726,0.001130339,0.009802061,0.0004524894,0.002421279,0.002634822,0.002033702,0.2482992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605795,"about_ca_system_score_gemma":0.002443332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040637,"about_ca_topic_score_gemma":0.03442986,"domain_scores_codex":[0.9988983,0.0001508721,0.0001381878,0.0003890296,0.0002501658,0.0001734722],"domain_scores_gemma":[0.9973136,0.0007640526,0.0002490683,0.0006921011,0.0006800817,0.0003011921],"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":[0.00002581175,0.00000982844,0.0003167503,0.0005084819,0.00001369429,0.0000122128,0.00002144922,0.0001055182,0.00009796095,0.0003764861,0.9972556,0.001256391],"study_design_scores_gemma":[0.00006632383,0.000006652442,0.001545883,0.0001872621,0.00001317416,0.00002967988,0.00006157255,0.0001209272,0.0001743206,0.0008064105,0.996971,0.00001677723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003058658,0.00002371348,0.00004163926,0.00003106241,0.00000980229,0.000004721035,0.9989189,0.0003233562,0.0006162778],"genre_scores_gemma":[0.0001473173,0.00003177698,0.0001931807,0.00004455971,0.000003256694,0.00004369884,0.9988888,0.0001602841,0.0004872019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8211585,"threshold_uncertainty_score":0.5982844,"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."}}