{"id":"W6943249947","doi":"10.15468/dl.n8x2q9","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); Confidentiality; State (computer science)","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":[0.001043853,0.001987219,0.001609415,0.005325348,0.0009860919,0.002606626,0.002819931,0.002098307,0.1607685],"category_scores_gemma":[0.00598733,0.0009105908,0.001172202,0.01012971,0.0004629772,0.002320746,0.002585864,0.002019385,0.221511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553468,"about_ca_system_score_gemma":0.002213852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958044,"about_ca_topic_score_gemma":0.03232418,"domain_scores_codex":[0.9989527,0.000148012,0.0001385944,0.0003669969,0.0002203785,0.0001731446],"domain_scores_gemma":[0.9974432,0.0007496338,0.0002529995,0.0006597177,0.0006005573,0.0002938867],"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":[0.00002888905,0.00001207762,0.0003808004,0.0005747965,0.00001591704,0.00001545659,0.00002456814,0.0001309206,0.0001148938,0.0003646503,0.9968992,0.001437782],"study_design_scores_gemma":[0.00007489244,0.000008504569,0.001858684,0.000199765,0.00001513539,0.00003861895,0.00007714129,0.0001534967,0.0001775852,0.0007399958,0.9966379,0.00001830277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004234619,0.00002699837,0.000045091,0.00003400815,0.00001250674,0.000005291298,0.9989007,0.0003455215,0.0005875409],"genre_scores_gemma":[0.0001577151,0.00003281796,0.0001935625,0.00004250943,0.000003643672,0.00004321926,0.9989474,0.0001399222,0.0004392496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8392315,"threshold_uncertainty_score":0.5378242,"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."}}