{"id":"W6943841326","doi":"10.15468/dl.swdntn","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); Confidentiality; State (computer science)","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":[0.001041145,0.001962203,0.001512641,0.005190799,0.001004046,0.002557688,0.002805406,0.002079272,0.1619548],"category_scores_gemma":[0.006018781,0.000910308,0.00115316,0.01036193,0.0004706544,0.002311665,0.002515416,0.002033957,0.2238775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015442,"about_ca_system_score_gemma":0.002300575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993387,"about_ca_topic_score_gemma":0.0335516,"domain_scores_codex":[0.9989288,0.0001567521,0.0001327542,0.0003763069,0.0002321071,0.0001732703],"domain_scores_gemma":[0.9974393,0.000738036,0.0002395209,0.0006953837,0.000599239,0.000288558],"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":[0.00002689092,0.00001169677,0.0003599749,0.0004865099,0.00001411145,0.00001447157,0.00002303239,0.0001283571,0.0001092234,0.0003741277,0.9970611,0.001390477],"study_design_scores_gemma":[0.00006864256,0.000008150693,0.001772799,0.0001831638,0.00001354755,0.00003828923,0.00007591274,0.0001514032,0.0001801554,0.0007602258,0.9967302,0.00001747824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000452624,0.00002921911,0.00004767782,0.0000371633,0.00001294812,0.000005336207,0.998816,0.0003505309,0.0006559098],"genre_scores_gemma":[0.0001658454,0.00003344817,0.0001961399,0.00004425014,0.000003706895,0.00004237775,0.9988866,0.0001420779,0.000485532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380452,"threshold_uncertainty_score":0.5417929,"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."}}