{"id":"W6962300001","doi":"10.15468/dl.vxth2p","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":"Matching (statistics); Download; Filter (signal processing); Range (aeronautics); 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":[0.001162625,0.001998674,0.001746969,0.005267477,0.001105374,0.002946498,0.003125542,0.002107967,0.1802503],"category_scores_gemma":[0.006794692,0.001023148,0.001231511,0.01092708,0.0004742734,0.002522756,0.002779528,0.00214084,0.2456096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162431,"about_ca_system_score_gemma":0.002498604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132267,"about_ca_topic_score_gemma":0.03515689,"domain_scores_codex":[0.9988235,0.0001598949,0.0001534515,0.0004107621,0.000262338,0.0001900228],"domain_scores_gemma":[0.9972458,0.0007909137,0.0002479602,0.000727275,0.0006802729,0.0003078076],"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":[0.00002651441,0.0000098824,0.0003225984,0.0005272281,0.000014676,0.00001362738,0.00002287416,0.0001038237,0.0001073951,0.0003850992,0.9971796,0.001286656],"study_design_scores_gemma":[0.00006363453,0.000006685178,0.001535888,0.0001883156,0.0000139876,0.0000333146,0.00006881905,0.0001192306,0.0001710724,0.0007651139,0.9970169,0.00001707441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003319914,0.00002574446,0.00004657985,0.00003312703,0.00001156023,0.000004922453,0.9988362,0.0003660194,0.0006426711],"genre_scores_gemma":[0.0001388699,0.0000332787,0.0001938775,0.00004339599,0.000003241717,0.00004074705,0.9989216,0.0001715229,0.0004535199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8197497,"threshold_uncertainty_score":0.6029972,"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."}}