{"id":"W6905919171","doi":"10.15468/dl.qlf2ub","title":"Occurrence Download","year":2019,"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); Real world data; Reference data","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":[0.0008502849,0.001871505,0.001520398,0.005054228,0.001070925,0.002782338,0.002953854,0.001956401,0.1636506],"category_scores_gemma":[0.005816942,0.0008835454,0.001186208,0.01020899,0.0004509563,0.002617765,0.002856753,0.002103864,0.2503575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001760974,"about_ca_system_score_gemma":0.002404696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356232,"about_ca_topic_score_gemma":0.04332869,"domain_scores_codex":[0.9990112,0.0001257604,0.0001211712,0.0003522849,0.000226198,0.0001634953],"domain_scores_gemma":[0.9977761,0.0005927068,0.0001925822,0.0005761897,0.0006036285,0.0002588305],"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":[0.00002397404,0.000009849686,0.0003349155,0.0004839323,0.00001178055,0.00001359163,0.00002466298,0.0001006145,0.00009266473,0.0003934224,0.9969657,0.001544742],"study_design_scores_gemma":[0.00004801717,0.000005969142,0.001393021,0.0001737811,0.00001092433,0.00003244616,0.00007360754,0.0001279897,0.0001480266,0.0007383181,0.9972331,0.00001478564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004133369,0.00003325597,0.00005058054,0.00004261847,0.00001402167,0.000005591863,0.9984956,0.0004360223,0.0008809011],"genre_scores_gemma":[0.0001549107,0.00004137793,0.0002290292,0.00004860772,0.000003795584,0.0000421185,0.9986793,0.000171162,0.0006296299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8363494,"threshold_uncertainty_score":0.5474659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}