{"id":"W6905889654","doi":"10.15468/dl.shahqj","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); Alien; The Internet","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":[0.0009991617,0.001974325,0.001560194,0.00475054,0.00102156,0.002603854,0.002844063,0.002169396,0.1574151],"category_scores_gemma":[0.006439951,0.0008960291,0.001277555,0.008943553,0.0004435851,0.002346809,0.002504092,0.002024745,0.2173963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600996,"about_ca_system_score_gemma":0.002323141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254693,"about_ca_topic_score_gemma":0.03456998,"domain_scores_codex":[0.9989767,0.000140534,0.0001268804,0.0003595151,0.0002246178,0.0001718782],"domain_scores_gemma":[0.9974616,0.0007728387,0.0002151582,0.0006404152,0.0006389658,0.0002710238],"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":[0.00002878408,0.00001215868,0.0004060033,0.0005401389,0.00001401297,0.00001578806,0.00002254682,0.0001292814,0.000116049,0.0003453853,0.9969134,0.001456395],"study_design_scores_gemma":[0.00007626549,0.000009670349,0.001994487,0.0002256388,0.0000154826,0.00003946023,0.00008447441,0.0001924113,0.0002050094,0.0008137138,0.9963245,0.00001882199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004417833,0.00002775671,0.00004633657,0.00004128809,0.00001300242,0.000006170931,0.9987801,0.0004188569,0.0006223342],"genre_scores_gemma":[0.0001750098,0.00003468763,0.0002102332,0.00005122893,0.000003796864,0.00004838089,0.9988635,0.0001526662,0.0004604434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425849,"threshold_uncertainty_score":0.526606,"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."}}