{"id":"W6887144010","doi":"10.15468/dl.msrjxd","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); The Internet","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":[0.001074303,0.00204611,0.001731487,0.005298893,0.001111028,0.002800486,0.002973958,0.002221581,0.1547095],"category_scores_gemma":[0.006092472,0.0009893209,0.001194891,0.01026546,0.0004649112,0.002564103,0.002643859,0.002174263,0.2231855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651256,"about_ca_system_score_gemma":0.002416324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041264,"about_ca_topic_score_gemma":0.03384506,"domain_scores_codex":[0.9988913,0.0001550176,0.0001397969,0.0003948054,0.0002412619,0.0001778895],"domain_scores_gemma":[0.9974164,0.0007370049,0.0002340746,0.0006913527,0.0006141016,0.0003069871],"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":[0.00003009304,0.00001225115,0.0003668521,0.0005674297,0.00001507773,0.00001523721,0.00002355621,0.0001231684,0.0001256112,0.0004172075,0.9969959,0.001307622],"study_design_scores_gemma":[0.00007417097,0.000008100638,0.001722398,0.0001929648,0.00001421499,0.00003667239,0.00007150654,0.000142114,0.0001849401,0.0007983623,0.9967366,0.00001793254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004201447,0.00002940914,0.00004607219,0.00003635869,0.00001195247,0.000005357304,0.9988192,0.000362683,0.0006470104],"genre_scores_gemma":[0.000147848,0.00003422487,0.0001889179,0.00004395084,0.000003262209,0.00004044014,0.9989539,0.0001422172,0.000445257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452905,"threshold_uncertainty_score":0.5175549,"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."}}