{"id":"W6924519176","doi":"10.15468/dl.yf46zp","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); Order (exchange)","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":[0.001095316,0.001818559,0.001561581,0.005339096,0.0009830747,0.002727111,0.002751384,0.00188568,0.1811483],"category_scores_gemma":[0.006739574,0.0009506874,0.001088694,0.01078575,0.0004452976,0.002378236,0.002598355,0.001941078,0.2373382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590095,"about_ca_system_score_gemma":0.002321509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193834,"about_ca_topic_score_gemma":0.03233645,"domain_scores_codex":[0.9988966,0.0001463405,0.0001536641,0.0003787068,0.0002444016,0.0001803184],"domain_scores_gemma":[0.9973053,0.0007776251,0.0002703026,0.0006921682,0.0006589829,0.0002955785],"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":[0.00002797049,0.000009454408,0.0003805478,0.0005574054,0.00001475533,0.00001417942,0.00002438736,0.0001171228,0.0001094606,0.0003975942,0.9969133,0.001433832],"study_design_scores_gemma":[0.00005980269,0.000006443034,0.001690449,0.0001889168,0.00001316411,0.00003253348,0.00006907375,0.0001155535,0.000158856,0.0006854242,0.9969642,0.00001552778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003127234,0.00002160049,0.00003949321,0.00002908755,0.00001046611,0.000004348769,0.9989779,0.0002824436,0.0006033219],"genre_scores_gemma":[0.0001524733,0.000032722,0.0001914881,0.00004004079,0.000003574137,0.00003926495,0.998911,0.0001503565,0.0004791711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8188517,"threshold_uncertainty_score":0.6060013,"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."}}