{"id":"W6962451728","doi":"10.15468/dl.vzg2t4","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); State (computer science); 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":[0.001016419,0.001965385,0.001497899,0.004912533,0.0009536449,0.002419913,0.002743049,0.002035584,0.151774],"category_scores_gemma":[0.005817251,0.0009019222,0.001127458,0.009425069,0.0004710983,0.00227557,0.002531806,0.001978847,0.2162732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557006,"about_ca_system_score_gemma":0.002212506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932956,"about_ca_topic_score_gemma":0.03178228,"domain_scores_codex":[0.9989929,0.0001455234,0.0001282685,0.0003551647,0.0002165951,0.0001616028],"domain_scores_gemma":[0.9974693,0.0007328683,0.0002378772,0.000672697,0.0005977493,0.0002894829],"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":[0.00002829496,0.00001227566,0.0003882277,0.0005290034,0.00001441876,0.00001493768,0.00002532341,0.0001303459,0.0001205062,0.0003624764,0.9970234,0.001350881],"study_design_scores_gemma":[0.00007433934,0.000008386601,0.001889976,0.0001836545,0.00001388928,0.00003782072,0.00008072198,0.0001571928,0.0001950993,0.0007533914,0.9965879,0.0000176892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004598745,0.00002548485,0.00004538268,0.00003468962,0.00001208782,0.000005441132,0.9988673,0.0003455261,0.0006181581],"genre_scores_gemma":[0.0001691798,0.00003067606,0.0001910351,0.00004269564,0.000003498974,0.00004490559,0.9989353,0.0001366104,0.0004462045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848226,"threshold_uncertainty_score":0.5077347,"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."}}