{"id":"W6905471031","doi":"10.15468/dl.k9wyvs","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); Data set; 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":[0.0009744231,0.001911642,0.001633404,0.005099736,0.0009608119,0.002594089,0.002732324,0.002051158,0.1692553],"category_scores_gemma":[0.006009477,0.0008921038,0.001133483,0.009840555,0.0004335873,0.002402032,0.002582763,0.001972408,0.2270029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500029,"about_ca_system_score_gemma":0.002177309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826281,"about_ca_topic_score_gemma":0.03138938,"domain_scores_codex":[0.9989927,0.0001343592,0.000129592,0.0003561742,0.0002203459,0.0001668551],"domain_scores_gemma":[0.9975601,0.0006986262,0.0002387574,0.0006379341,0.0005819162,0.0002826583],"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":[0.00002850741,0.00001082065,0.0003668662,0.0005745824,0.00001505065,0.000014918,0.00002371984,0.000126091,0.0001195992,0.000383915,0.9968899,0.001446024],"study_design_scores_gemma":[0.00006533915,0.000007253214,0.001667826,0.0001882097,0.00001355715,0.00003362881,0.00006829478,0.000132032,0.0001758094,0.0007425994,0.9968888,0.00001674126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003833895,0.00002604671,0.0000429443,0.00003221472,0.0000112612,0.000004804781,0.9988927,0.0003277627,0.0006239358],"genre_scores_gemma":[0.0001612185,0.00003434896,0.0001966037,0.00004388541,0.000003470193,0.00004221228,0.9988728,0.0001465801,0.0004987464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307446,"threshold_uncertainty_score":0.5662155,"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."}}