{"id":"W6962180141","doi":"10.15468/dl.yrj4yj","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); Set (abstract data type); Data set","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":[0.001144838,0.001984851,0.001694068,0.005524883,0.001078163,0.002902424,0.002960035,0.002086296,0.1776961],"category_scores_gemma":[0.006831127,0.001006436,0.001191548,0.01083413,0.0004784694,0.002498053,0.002774026,0.002099937,0.2415103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622758,"about_ca_system_score_gemma":0.00248845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208439,"about_ca_topic_score_gemma":0.03608869,"domain_scores_codex":[0.9987953,0.0001588632,0.0001602864,0.0004205656,0.0002709812,0.0001940651],"domain_scores_gemma":[0.9971449,0.0008352972,0.0002711327,0.0007412419,0.0006867954,0.0003206286],"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":[0.00002711913,0.000009845812,0.0003515556,0.0005222356,0.00001447161,0.00001404821,0.00002453376,0.000110969,0.0001064544,0.000381765,0.9971117,0.001325306],"study_design_scores_gemma":[0.00006480089,0.000006891302,0.001682904,0.0001934771,0.0000140855,0.00003486952,0.00007228683,0.0001288435,0.0001650185,0.0007414552,0.9968784,0.00001714237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003311926,0.00002334635,0.00004398662,0.00003165359,0.00001107238,0.000004424251,0.9989113,0.0003453916,0.0005957469],"genre_scores_gemma":[0.0001388556,0.00003209337,0.0001922353,0.00004134787,0.000003296733,0.00003796157,0.9989305,0.0001655153,0.0004582336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8223039,"threshold_uncertainty_score":0.5944527,"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."}}