{"id":"W6943620823","doi":"10.15468/dl.mzsy2t","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); Set (abstract data type); Confidentiality","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":[0.001119182,0.001920263,0.001640407,0.005492469,0.001046162,0.002855679,0.00287795,0.00200774,0.1849816],"category_scores_gemma":[0.006867595,0.0009756135,0.001144144,0.010964,0.0004588193,0.002471635,0.002669735,0.002066877,0.2414501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163722,"about_ca_system_score_gemma":0.00251221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245715,"about_ca_topic_score_gemma":0.03706499,"domain_scores_codex":[0.9988463,0.000155439,0.0001548271,0.0003994369,0.0002597395,0.0001843446],"domain_scores_gemma":[0.9972066,0.0008242016,0.0002609311,0.0007024274,0.0006850027,0.0003208341],"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":[0.00002576973,0.00000915381,0.000324258,0.0004970894,0.00001357141,0.00001349325,0.00002291242,0.0001008367,0.00009768142,0.0003772313,0.9972257,0.001292184],"study_design_scores_gemma":[0.00006215525,0.000006301888,0.001557685,0.0001897141,0.00001325398,0.0000325408,0.00007032936,0.0001173095,0.0001562046,0.0007324896,0.9970457,0.00001617747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003113717,0.00002273605,0.00004178121,0.00003260233,0.0000108296,0.000004427698,0.9989138,0.0003188413,0.0006239561],"genre_scores_gemma":[0.0001392484,0.00003320039,0.0001856211,0.0000422122,0.000003348682,0.00003922557,0.9989185,0.0001638953,0.0004747697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8150184,"threshold_uncertainty_score":0.6188251,"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."}}