{"id":"W6887366707","doi":"10.15468/dl.yumkhw","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); Robustness (evolution); Set (abstract data type)","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":[0.001023485,0.002007752,0.001552734,0.004884462,0.001018522,0.002447473,0.002935158,0.002146403,0.1423665],"category_scores_gemma":[0.006040487,0.0008946595,0.001178737,0.009456252,0.0004663435,0.002285109,0.002495636,0.002047321,0.2061063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533786,"about_ca_system_score_gemma":0.002276588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198475,"about_ca_topic_score_gemma":0.03385027,"domain_scores_codex":[0.9989392,0.0001486531,0.0001330466,0.0003743352,0.0002328358,0.0001720132],"domain_scores_gemma":[0.9975224,0.0007009613,0.0002348699,0.0006667316,0.0005841297,0.0002909093],"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":[0.00002893209,0.00001236498,0.000389535,0.0005039972,0.00001437998,0.00001460938,0.00002257176,0.0001348987,0.000115771,0.0003596388,0.9970343,0.001369071],"study_design_scores_gemma":[0.00007393218,0.000008927575,0.001914225,0.0001836827,0.00001443932,0.00003901209,0.00007449106,0.0001766523,0.0001992466,0.0007911733,0.9965062,0.00001802846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004916481,0.00002942029,0.0000480738,0.00003873633,0.00001360815,0.000005533442,0.9987854,0.0003920594,0.0006379728],"genre_scores_gemma":[0.0001693236,0.0000318099,0.0001958255,0.00004456956,0.000003593826,0.00004166131,0.9989418,0.0001344351,0.0004370392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8576335,"threshold_uncertainty_score":0.4762635,"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."}}