{"id":"W6887289482","doi":"10.15468/dl.ur6peq","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Download; Matching (statistics); Range (aeronautics)","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":[0.0008623633,0.001989306,0.001512157,0.004922693,0.001012381,0.002731373,0.002861754,0.00188765,0.1620565],"category_scores_gemma":[0.00544766,0.0008926896,0.001204884,0.009773644,0.000435251,0.00243941,0.002601836,0.001981347,0.2488501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555248,"about_ca_system_score_gemma":0.002388397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343942,"about_ca_topic_score_gemma":0.0371683,"domain_scores_codex":[0.9990438,0.0001245845,0.0001196181,0.0003339014,0.0002132143,0.0001649782],"domain_scores_gemma":[0.9979487,0.0005353973,0.0001739312,0.0005443355,0.0005455501,0.0002521204],"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":[0.00002537876,0.000009274132,0.0003066681,0.0004383862,0.00001172148,0.00001326916,0.00002102978,0.0001035993,0.00008863515,0.0003413276,0.9971852,0.001455459],"study_design_scores_gemma":[0.00005709161,0.000007242259,0.001556466,0.0001631194,0.00001211456,0.00003632551,0.00007261807,0.000156517,0.0001686253,0.00077851,0.9969754,0.00001605056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003939359,0.0000286695,0.00004704635,0.00003895607,0.00001334203,0.00000522347,0.9986174,0.0004663282,0.0007436957],"genre_scores_gemma":[0.0001413206,0.00003421795,0.0001890389,0.00004335494,0.000003459524,0.00003586513,0.9988567,0.000153695,0.0005424397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379434,"threshold_uncertainty_score":0.5421331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}